WO2014138697A1 - Systems and methods for high dynamic range imaging using array cameras - Google Patents

Systems and methods for high dynamic range imaging using array cameras Download PDF

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Publication number
WO2014138697A1
WO2014138697A1 PCT/US2014/022123 US2014022123W WO2014138697A1 WO 2014138697 A1 WO2014138697 A1 WO 2014138697A1 US 2014022123 W US2014022123 W US 2014022123W WO 2014138697 A1 WO2014138697 A1 WO 2014138697A1
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WIPO (PCT)
Prior art keywords
cameras
array
camera
image
dynamic range
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PCT/US2014/022123
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French (fr)
Inventor
Florian Ciurea
Kartik Venkataraman
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Pelican Imaging Corporation
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Publication date
Application filed by Pelican Imaging Corporation filed Critical Pelican Imaging Corporation
Priority to US14/773,742 priority Critical patent/US9774789B2/en
Publication of WO2014138697A1 publication Critical patent/WO2014138697A1/en
Priority to US15/713,482 priority patent/US20180013945A1/en

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/45Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/10Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
    • H04N23/13Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths with multiple sensors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/73Circuitry for compensating brightness variation in the scene by influencing the exposure time
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/741Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/743Bracketing, i.e. taking a series of images with varying exposure conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/95Computational photography systems, e.g. light-field imaging systems
    • H04N23/951Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/50Control of the SSIS exposure
    • H04N25/57Control of the dynamic range
    • H04N25/58Control of the dynamic range involving two or more exposures
    • H04N25/581Control of the dynamic range involving two or more exposures acquired simultaneously
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/50Control of the SSIS exposure
    • H04N25/57Control of the dynamic range
    • H04N25/58Control of the dynamic range involving two or more exposures
    • H04N25/581Control of the dynamic range involving two or more exposures acquired simultaneously
    • H04N25/585Control of the dynamic range involving two or more exposures acquired simultaneously with pixels having different sensitivities within the sensor, e.g. fast or slow pixels or pixels having different sizes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70SSIS architectures; Circuits associated therewith
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/265Mixing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/30Transforming light or analogous information into electric information
    • H04N5/33Transforming infrared radiation

Definitions

  • the mechanism of exposure provides adjustment of the device sensitivity to the light intensity in the scene. This is in part motivated by the limited dynamic range (ratio of highest to lowest light intensity) of the camera system compared to the dynamic range of intensities in the real world.
  • a metering and auto-exposure algorithm finds optimal values for the above parameters (some of these parameters may be specified or fixed).
  • An auto-exposure algorithm aims to find the optimal exposure settings for the camera system by modifying a subset of the following parameters: exposure time, iris/lens aperture, sensor gain, and the use of neutral density filters.
  • Cameras equipped with auto-focus lens can generally capture an image of acceptable quality at a certain focus setting, while relying on an auto-focus algorithm to select the accurate focus position where the chosen parts of the image are considered to be acceptably sharp.
  • auto-focus can be achieved by capturing successive images (or selected regions of interest in successive images) at varying focus positions through "focus sweep" and selecting the setting corresponding to the image (or selected regions of interest in the image) of best "focus".
  • An auto-focus algorithm aims to find the optimal focus setting for the camera system.
  • the auto-exposure and auto-focus functions in digital cameras share the characteristic that they both generally rely on taking multiple measurements in order to estimate the best camera settings prior to actual image capture.
  • the High Dynamic Range (HDR) feature provides a means to produce images that convey higher dynamic range (higher ratio of intensities corresponding to light and dark areas in image).
  • images are traditionally captured at one exposure level (may vary for each color channel in architectures allowing this).
  • the camera system's dynamic range is typically limited by several factors, including the finite number of bits in the analog-to-digital converters, reduced full-well sensor capacity as well as optical characteristics.
  • HDR mode utilizes a set of methods that sample a scene's dynamic range more aggressively by capturing multiple images of the scene at different exposure levels.
  • FIG. 2 conceptually illustrates an optic array and an imager array in an array camera module in accordance with an embodiment of the invention.
  • FIGS. 1 1A-E conceptually illustrate applying various neutral density filters for One-shot HDR Mode in accordance with an embodiment of the invention.
  • Camera modules in accordance with embodiments of the invention can be constructed from an imager array and an optic array.
  • a camera module in accordance with an embodiment of the invention is illustrated in FIG. 2.
  • the camera module 200 includes an imager array 230 including an array of focal planes 240 along with a corresponding optic array 210 including an array of lens stacks 220.
  • each lens stack 220 creates an optical channel that forms an image of the scene on an array of light sensitive pixels within a corresponding focal plane 240.
  • Each pairing of a lens stack 220 and focal plane 240 forms a single camera 104 within the camera module.
  • Each pixel within a focal plane 240 of a camera 104 generates image data that can be sent from the camera 104 to the processor 108.
  • the pixels in each focal plane are the same and the light information captured by the pixels is differentiated by the color filters in the corresponding lens stack for each filter plane.
  • camera modules including ⁇ filter groups can be implemented in a variety of ways including (but not limited to) by applying color filters to the pixels of the focal planes of the camera module similar to the manner in which color filters are applied to the pixels of a conventional color camera.
  • at least one of the cameras in the camera module can include uniform color filters applied to the pixels in its focal plane.
  • a Bayer filter pattern is applied to the pixels of one of the cameras in a camera module.
  • camera modules are constructed in which color filters are utilized in both the lens stacks and on the pixels of the imager array.
  • an array camera generates image data from multiple focal planes and uses a processor to synthesize one or more images of a scene.
  • the image data captured by a single focal plane in the sensor array can constitute a low resolution image (the term low resolution here is used only to contrast with higher resolution images), which the processor can use in combination with other low resolution image data captured by the camera module to construct a higher resolution image through Super Resolution processing.
  • the image capture settings of the cameras in the array are varied to capture image data with different dynamic ranges that can be composited to form high dynamic range images.
  • the imager array 300 includes a focal plane array core 302 that includes an array of focal planes 304 and all analog signal processing, pixel level control logic, signaling, and analog-to-digital conversion (ADC) circuitry.
  • the imager array also includes focal plane timing and control circuitry 306 that is responsible for controlling the capture of image information using the pixels.
  • the focal plane timing and control circuitry utilizes reset and read-out signals to control the integration time of the pixels.
  • any of a variety of techniques can be utilized to control integration time of pixels and/or to capture image information using pixels.
  • the focal plane timing and control circuitry 306 provides flexibility of image information capture control, which enables features including (but not limited to) high dynamic range imaging, high speed video, and electronic image stabilization.
  • the imager array includes power management and bias generation circuitry 308.
  • the power management and bias generation circuitry 308 provides current and voltage references to analog circuitry such as the reference voltages against which an ADC would measure the signal to be converted against.
  • the power management and bias circuitry also includes logic that turns off the current/voltage references to certain circuits when they are not in use for power saving reasons.
  • the imager array includes dark current and fixed pattern (FPN) correction circuitry 310 that increases the consistency of the black level of the image data captured by the imager array and can reduce the appearance of row temporal noise and column fixed pattern noise.
  • FPN dark current and fixed pattern
  • each focal plane includes reference pixels for the purpose of calibrating the dark current and FPN of the focal plane and the control circuitry can keep the reference pixels active when the rest of the pixels of the focal plane are powered down in order to increase the speed with which the imager array can be powered up by reducing the need for calibration of dark current and FPN.
  • a single self-contained chip imager includes focal plane framing circuitry 312 that packages the data captured from the focal planes into a container file and can prepare the captured image data for transmission.
  • the focal plane framing circuitry includes information identifying the focal plane and/or group of pixels from which the captured image data originated.
  • the imager array also includes an interface for transmission of captured image data to external devices.
  • the interface is a MIPI CSI 2 output interface (as specified by the non-profit MIPI Alliance, Inc.) supporting four lanes that can support read-out of video at 30 fps from the imager array and incorporating data output interface circuitry 314, interface control circuitry 316 and interface input circuitry 318.
  • the bandwidth of each lane is optimized for the total number of pixels in the imager array and the desired frame rate.
  • any of a variety of imager arrays can be constructed in accordance with embodiments of the invention that enable the capture of images of a scene at a plurality of focal planes in accordance with embodiments of the invention.
  • Independent focal plane control that can be included in imager arrays in accordance with embodiments of the invention are discussed further below.
  • Imager arrays in accordance with embodiments of the invention can include an array of focal planes that can independently be controlled. In this way, the image capture settings for each focal plane in an imager array can be configured differently. As is discussed further below, the ability to configure active focal planes using difference image capture settings can enable different cameras within an array camera module to capture image data at various exposure levels for creating high resolution images that can be composited to create HDR images.
  • the row timing circuitry 406, 408 and the column readout circuitry 410, 412 are responsible for reading out image data from each of the pixels in the active focal planes.
  • the image data read from the focal planes is then formatted for output using an output and control interface 416.
  • the dynamic range of a scene can be used to determine whether HDR imaging is appropriate.
  • a scene's dynamic range can be measured using methods including (but not limited to) those disclosed in U.S. Provisional Patent Application Serial No. 61/775,395, entitled, "Systems and Methods for Measuring Scene Information while Capture Image Data", filed March 8, 2013, the disclosure of which is incorporated by reference herein in its entirety.
  • the dynamic range of a camera module can capture the entire dynamic range of the scene and/or a portion of the dynamic range determined to be useful.
  • a standard capture mode non HDR mode
  • the same image capture settings can be utilized for the cameras in each color channel can be used to capture the full dynamic range of the scene.
  • the dynamic range of a scene 502 can be much greater than the dynamic range of a single camera in an array camera module 506.
  • the difference in dynamic ranges creates a so called clipping affect at the outer limits of the camera's dynamic range 504, 508.
  • the regions of the scene's dynamic range that are outside the camera module's dynamic range 506 are either underexposed or overexposed and thus image data is not accurately captured.
  • Exposure times can be adjusted at multiple iterations to identify the exposure settings that best satisfy a set of predetermined criteria and/or to capture image data over the entire dynamic range of the scene for the purposes of HDR imaging.
  • optimal exposure settings may be determined using an iterative process. Processes for performing HDR image capture using subsets of active cameras within an array camera module in accordance with embodiments of the invention are discussed further below.
  • the process 600 includes capturing (602) image data using the active cameras of the camera module as discussed above.
  • the captured image data can be analyzed to determine (604) the dynamic range of the scene.
  • a determination (606) is made as to whether the dynamic range in the scene exceeds a predetermined threshold.
  • the threshold can be a function of the dynamic range of the camera module implemented in the imager array.
  • a standard capture mode (non-HDR mode) is utilized to capture image data where the cameras in each color channel use the same image capture settings (616) and an image is synthesized (618) using the captured image data.
  • subsets of active cameras of a camera module can be determined (608) for use in HDR image capture as further described below.
  • the exposure settings can be determined in a manner well known to one of ordinary skill in the art including (but not limited to) selecting (610) dynamic range bracketing for the purpose of high dynamic range capture. For each subset of cameras, various exposure settings are determined (612) for capturing HDR image data.
  • Multiple Frame HDR mode if an object within a scene is within a predetermined distance from the array camera module, then Multiple Frame HDR mode is utilized.
  • the Multiple Frame HDR mode functions similar to traditional HDR imagining, where the same set of active cameras is used to capture successive image data using different capture settings.
  • the sets of image data are used to synthesize high resolution images that are then composited to create an HDR image.
  • the benefit of configuring the active cameras to capture successive set of image data using different image capture settings is that more cameras can be utilized relative to the Single Frame HDR mode and the likelihood of artifacts is reduced. If the object within the scene is a sufficient distance away, then Single Frame HDR mode can be utilized as described above.
  • FIG. 10 A process for performing HDR image capture using subsets an array camera in a manner that adapts based upon scene object distance in accordance with an embodiment of the invention is illustrated in FIG. 10.
  • the process 1000 includes capturing image data using one or more active cameras.
  • the image data can be optionally used to synthesize an image and generate (1002) a preview of the synthesized image.
  • the synthesized image and/or captured image data is analyzed to estimate (1004) the dynamic range of the scene.
  • a determination is made (1006) as to whether the dynamic range of the scene exceeds a predetermined threshold. If the dynamic range of the scene does not exceed the predetermined threshold, HDR imaging is not utilized and image data is captured using a standard (non-HDR) image capture mode (1016).
  • a so-called One-shot HDR mode can be utilized to achieve exposure variation among subsets of active cameras (exposure pattern groups) while maintaining similar exposure parameters (and specific integration times) for all cameras in the array. Such exposure variation can be achieved by varying transmittance from one exposure pattern groups to another.
  • the One-shot HDR mode can be implemented utilizing filters including (but not limited to) color and/or neutral density filters. In several embodiments, color filters can be stacked or the thickness of a filter layer varied to allow for desired transmittance. In other embodiments, the transmittance of either individual cameras or a camera group may be controlled by an LCD placed in the optical path.
  • Exposure pattern groups can be determined by selecting a subset of active cameras and applying the color and/or neutral density filters to the subset.
  • neutral density filters corresponding to the exposure pattern group may be permanently applied in the optical path in front of a lens, between different lens elements and/or between the lens and the sensor or even lithographically deposited on the lens, sensor or additional glass carriers.
  • neutral density filters corresponding to desired exposure pattern groups may be inserted, on demand, in the optical path.
  • neutral density filters can be part of the camera array module internally and may be controlled mechanically and/or electronically or attached externally on top of the camera array module by the user whenever One-shot HDR mode is desired.
  • a rotational mechanism 1 134 removes the array filter.
  • the rotational mechanism 1 146 can provide for several exposure group patterns corresponding to different positions along the rotational path. In one position, an array filter 1 142 can cover one exposure pattern group. Upon rotation, another filter 1 144 can create a different exposure pattern group. Further, the rotational mechanism can also provide for not applying any filter at all.
  • the shape and size of the neural density filters can vary along with the specific method of implementation. Although specific neutral density filters and their application to an array camera for enabling One-shot HDR mode are discussed above with respect to FIGS. 1 1 A-E, any of a variety of filters and applications to array cameras as appropriate to the requirements of the a specific application can be utilized in accordance with embodiments of the invention.

Abstract

Systems and methods for high dynamic range imaging using array cameras in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method of generating a high dynamic range image using an array camera includes defining at least two subsets of active cameras, determining image capture settings for each subset of active cameras, where the image capture settings include at least two exposure settings, configuring the active cameras using the determined image capture settings for each subset, capturing image data using the active cameras, synthesizing an image for each of the at least two subset of active cameras using the captured image data, and generating a high dynamic range image using the synthesized images.

Description

SYSTEMS AND METHODS FOR HIGH DYNAMIC RANGE
IMAGING USING ARRAY CAMERAS
FIELD OF THE INVENTION
[0001] The present invention generally relates to digital cameras and more specifically to systems and methods for high dynamic range (HDR) imagining using array cameras.
BACKGROUND
[0002] Current camera technology typically limits image capture possibilities to very specific conditions in which an image of acceptable quality can be produced. As a result of this limitation, several camera settings need to be appropriately chosen before an image of optimal quality can be taken. Cameras have long had the ability to assess the scene conditions and automatically adjust settings such as: exposure time, iris/lens aperture, focus, sensor gain, and the use of neutral density filters. While film-based cameras have traditionally relied on external measuring sensors to select these settings, modern compact digital cameras make use of several through-the-lens measurements that provide image-based data to automatically adjust settings through algorithms that compare these measurements and decide on optimal settings.
[0003] The mechanism of exposure provides adjustment of the device sensitivity to the light intensity in the scene. This is in part motivated by the limited dynamic range (ratio of highest to lowest light intensity) of the camera system compared to the dynamic range of intensities in the real world. In an imaging capture device, a metering and auto- exposure algorithm finds optimal values for the above parameters (some of these parameters may be specified or fixed). An auto-exposure algorithm aims to find the optimal exposure settings for the camera system by modifying a subset of the following parameters: exposure time, iris/lens aperture, sensor gain, and the use of neutral density filters. [0004] Cameras equipped with auto-focus lens can generally capture an image of acceptable quality at a certain focus setting, while relying on an auto-focus algorithm to select the accurate focus position where the chosen parts of the image are considered to be acceptably sharp. In a traditional compact digital camera, auto-focus can be achieved by capturing successive images (or selected regions of interest in successive images) at varying focus positions through "focus sweep" and selecting the setting corresponding to the image (or selected regions of interest in the image) of best "focus". An auto-focus algorithm aims to find the optimal focus setting for the camera system. The auto-exposure and auto-focus functions in digital cameras share the characteristic that they both generally rely on taking multiple measurements in order to estimate the best camera settings prior to actual image capture.
[0005] Auto-exposure algorithms may rely on external light meters/sensors or may evaluate optimal exposure time through the lens by successive image capturing as described above. In many legacy cameras auto-exposure algorithms run concurrently with image preview mode. Due to the fact that preview mode provides real time video, the auto-exposure algorithm is typically configured to make small adjustments in the exposure time since changes in exposure are immediately visible in the preview video. These small adjustments result in delays in identifying optimal exposure times.
[0006] Autofocus is another feature that generally runs when the device is in preview mode. Again, since image preview mode provides real time video, the autofocus process typically involves gradually varying the focus point in a slow sweep. Although there are multiple approaches to performing autofocus (including phase detection that uses dedicated focusing sensors), methods appropriate for compact cameras typically involve capturing several images and analyzing the captured images for parameters such as contrast or blur amount. Such autofocus methods, along with slow sweep, can also result in delays.
[0007] The High Dynamic Range (HDR) feature provides a means to produce images that convey higher dynamic range (higher ratio of intensities corresponding to light and dark areas in image). In a conventional image capture mode (i.e. one that does not involve capturing HDR information), images are traditionally captured at one exposure level (may vary for each color channel in architectures allowing this). The camera system's dynamic range is typically limited by several factors, including the finite number of bits in the analog-to-digital converters, reduced full-well sensor capacity as well as optical characteristics. HDR mode utilizes a set of methods that sample a scene's dynamic range more aggressively by capturing multiple images of the scene at different exposure levels. Each exposure creates brackets of smaller or regular dynamic range that can be sampled to produce a composite image of high (increased) dynamic range. Various blending models and/or algorithms can be utilized to create a single HDR image from the multiple images. The High Dynamic Range mode typically includes two steps: High Dynamic Range capture and High Dynamic Range Image Blending and Compression. In the High Dynamic Range capture step, multiple images may be captured at a pre-defined difference in exposure setting from the reference exposure; for example, if the reference exposure is EVO, an image with a smaller exposure by a factor of 2 may be captured and an image with a greater exposure by a factor of 2 may be captured as following: EVO, EV-1 (short exposure), EV+1 (long exposure). (Note: numbers follow the exposure value convention and correspond to base-2 logarithmic scale such that EV-1 corresponds to half of EVO exposure, EV+1 corresponds to double the EVO exposure).
SUMMARY OF THE INVENTION
[0008] Systems and methods for high dynamic range imaging using array cameras in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method of generating a high dynamic range image using an array camera includes defining at least two subsets of active cameras, determining image capture settings for each subset of active cameras, where the image capture settings include at least two exposure settings, configuring the active cameras using the determined image capture settings for each subset, capturing image data using the active cameras, synthesizing an image for each of the at least two subset of active cameras using the captured image data, and generating a high dynamic range image using the synthesized images. BRIEF DESCRIPTION OF THE DRAWINGS
[0009] FIG. 1 is a block diagram of an array camera in accordance with an embodiment of the invention.
[0010] FIG. 2 conceptually illustrates an optic array and an imager array in an array camera module in accordance with an embodiment of the invention.
[0011] FIG. 3 is an architecture diagram of an imager array in accordance with an embodiment of the invention.
[0012] FIG. 4 is a high level circuit diagram of pixel control and readout circuitry for a plurality of focal planes in an imager array in accordance with an embodiment of the invention.
[0013] FIG. 5 is a chart that conceptually illustrates the manner in which capturing image data with specific image capture settings can result in the capture of a portion of the full dynamic range of a scene.
[0014] FIG. 6 is a flow chart illustrating a process for performing HDR image capture utilizing subsets of active cameras of an array camera module in accordance with an embodiment of the invention.
[0015] FIG. 7 conceptually illustrates a layout of color filters and the location of reference cameras within each subset of a 4 x 4 camera module in accordance with an embodiment of the invention.
[0016] FIG. 8 conceptually illustrates a layout of color filters and the location of reference cameras within each subset of a 4 x 4 camera module in accordance with an embodiment of the invention.
[0017] FIG. 9 conceptually illustrates a layout of color filters and the location of reference cameras within each subset of a 5 x 5 camera module in accordance with an embodiment of the invention.
[0018] FIG. 10 is a flow chart illustrating a process for determining various HDR image capture modes using a subset of active cameras in accordance with an embodiment of the invention.
[0019] FIGS. 1 1A-E conceptually illustrate applying various neutral density filters for One-shot HDR Mode in accordance with an embodiment of the invention. DETAILED DISCLOSURE OF THE INVENTION
[0020] Turning now to the drawings, systems and methods for high dynamic range (HDR) image capture using array cameras are disclosed. Array cameras including camera modules that can be utilized to capture image data from different viewpoints are disclosed in U.S. Patent Application Serial No. 12/935,504, entitled "Capturing and Processing of Images using Monolithic Camera Array with Heteregeneous Images", filed May 20, 2009, the disclosure of which is incorporated by reference herein in its entirety. In several embodiments of the invention, HDR image capture is performed by grouping subsets of active cameras in an array camera module and configuring the cameras within each subset using different image capture settings so that multiple images with different exposure settings can be synthesized using the captured image data and composited to form an HDR image. The exposure settings can be determined in a manner well known to one of ordinary skill in the art including (but not limited to) using exposure bracketing techniques. In several embodiments, one subset is configured to capture image data at low exposure levels and another subset is configured to capture image data at high exposure levels. In a number of embodiments, a so called Single Frame HDR mode and/or Multiple Frame HDR mode can be utilized to generate an HDR image based upon the depth of objects within the scene. The HDR image capture mode can be selected automatically or manually. In Single Frame HDR mode, subsets of cameras are configured using various exposure settings to capture image data over the entire dynamic range of the scene (or meaningful portion of the scene's dynamic range) in the manner discussed above. In Multiple Frame HDR mode the same set of active cameras is used to capture successive image data using different capture settings similar to traditional HDR imagining. In both the Single Frame and Multiple Frame HDR modes, the captured image data are used to synthesize high resolution images that can be composited to create an HDR image. In various embodiments, a gain-based HDR imaging mode can be utilized for various gain settings using methods including (but not limited to) those disclosed in U.S. Patent Application Serial No. 13/761 ,040, entitled, "Systems and Methods for Extending Dynamic Range of Imager Array by Controlling Pixel Analog Gain", filed February 6, 2013, the disclosure of which is incorporated by reference herein in its entirety. In many embodiments, a so- called One-shot HDR mode can be utilized to achieve exposure variation among exposure pattern groups by varying transmittance while maintaining similar exposure parameters (and specific integration times) for all cameras within a specific color channel in the array. Systems and methods for performing HDR image capture in accordance with embodiments of the invention are discussed further below.
Array Cameras
[0021] Array cameras in accordance with embodiments of the invention can include a camera module and a processor. An array camera in accordance with an embodiment of the invention is illustrated in FIG. 1 . The array camera 100 includes a camera module 102 with an array of individual cameras 104 where an array of individual cameras refers to a plurality of cameras in a particular arrangement, such as (but not limited to) the square arrangement utilized in the illustrated embodiment. The camera module 102 is connected to the processor 106 and the processor 106 is connected to a memory 108. Although a specific array camera is illustrated in FIG. 1 , any of a variety of different array camera configurations can be utilized in accordance with many different embodiments of the invention.
Array Camera Modules
[0022] Camera modules in accordance with embodiments of the invention can be constructed from an imager array and an optic array. A camera module in accordance with an embodiment of the invention is illustrated in FIG. 2. The camera module 200 includes an imager array 230 including an array of focal planes 240 along with a corresponding optic array 210 including an array of lens stacks 220. Within the array of lens stacks, each lens stack 220 creates an optical channel that forms an image of the scene on an array of light sensitive pixels within a corresponding focal plane 240. Each pairing of a lens stack 220 and focal plane 240 forms a single camera 104 within the camera module. Each pixel within a focal plane 240 of a camera 104 generates image data that can be sent from the camera 104 to the processor 108. In many embodiments, the lens stack within each optical channel is configured so that pixels of each focal plane 240 sample the same object space or region within the scene. In several embodiments, the lens stacks are configured so that the pixels that sample the same object space do so with sub-pixel offsets to provide sampling diversity that can be utilized to recover increased resolution through the use of super-resolution processes.
[0023] In several embodiments, color filters in individual cameras can be used to pattern the camera module with π filter groups as further discussed in U.S. Provisional Patent Application No. 61/641 ,165 entitled "Camera Modules Patterned with pi Filter Groups" filed May 1 , 2012, the disclosure of which is incorporated by reference herein in its entirety. These cameras can be used to capture data with respect to different colors, or a specific portion of the spectrum. In contrast to applying color filters to the pixels of the camera, color filters in many embodiments of the invention are included in the lens stack. For example, a green color camera can include a lens stack with a green light filter that allows green light to pass through the optical channel. In many embodiments, the pixels in each focal plane are the same and the light information captured by the pixels is differentiated by the color filters in the corresponding lens stack for each filter plane. Although a specific construction of a camera module with an optic array including color filters in the lens stacks is described above, camera modules including π filter groups can be implemented in a variety of ways including (but not limited to) by applying color filters to the pixels of the focal planes of the camera module similar to the manner in which color filters are applied to the pixels of a conventional color camera. In several embodiments, at least one of the cameras in the camera module can include uniform color filters applied to the pixels in its focal plane. In many embodiments, a Bayer filter pattern is applied to the pixels of one of the cameras in a camera module. In a number of embodiments, camera modules are constructed in which color filters are utilized in both the lens stacks and on the pixels of the imager array.
[0024] In several embodiments, an array camera generates image data from multiple focal planes and uses a processor to synthesize one or more images of a scene. In certain embodiments, the image data captured by a single focal plane in the sensor array can constitute a low resolution image (the term low resolution here is used only to contrast with higher resolution images), which the processor can use in combination with other low resolution image data captured by the camera module to construct a higher resolution image through Super Resolution processing. In many embodiments, the image capture settings of the cameras in the array are varied to capture image data with different dynamic ranges that can be composited to form high dynamic range images.
[0025] Although specific array cameras are discussed above, many different array cameras are capable of utilizing π filter groups in accordance with embodiments of the invention. Imager arrays in accordance with embodiments of the invention are discussed further below.
Imager Arrays
[0026] An imager array in which the image capture settings of a plurality of focal planes can be independently configured in accordance with an embodiment of the invention is illustrated in FIG. 3. The imager array 300 includes a focal plane array core 302 that includes an array of focal planes 304 and all analog signal processing, pixel level control logic, signaling, and analog-to-digital conversion (ADC) circuitry. The imager array also includes focal plane timing and control circuitry 306 that is responsible for controlling the capture of image information using the pixels. In a number of embodiments, the focal plane timing and control circuitry utilizes reset and read-out signals to control the integration time of the pixels. In other embodiments, any of a variety of techniques can be utilized to control integration time of pixels and/or to capture image information using pixels. In many embodiments, the focal plane timing and control circuitry 306 provides flexibility of image information capture control, which enables features including (but not limited to) high dynamic range imaging, high speed video, and electronic image stabilization. In various embodiments, the imager array includes power management and bias generation circuitry 308. The power management and bias generation circuitry 308 provides current and voltage references to analog circuitry such as the reference voltages against which an ADC would measure the signal to be converted against. In many embodiments, the power management and bias circuitry also includes logic that turns off the current/voltage references to certain circuits when they are not in use for power saving reasons. In several embodiments, the imager array includes dark current and fixed pattern (FPN) correction circuitry 310 that increases the consistency of the black level of the image data captured by the imager array and can reduce the appearance of row temporal noise and column fixed pattern noise. In several embodiments, each focal plane includes reference pixels for the purpose of calibrating the dark current and FPN of the focal plane and the control circuitry can keep the reference pixels active when the rest of the pixels of the focal plane are powered down in order to increase the speed with which the imager array can be powered up by reducing the need for calibration of dark current and FPN.
[0027] In many embodiments, a single self-contained chip imager includes focal plane framing circuitry 312 that packages the data captured from the focal planes into a container file and can prepare the captured image data for transmission. In several embodiments, the focal plane framing circuitry includes information identifying the focal plane and/or group of pixels from which the captured image data originated. In a number of embodiments, the imager array also includes an interface for transmission of captured image data to external devices. In the illustrated embodiment, the interface is a MIPI CSI 2 output interface (as specified by the non-profit MIPI Alliance, Inc.) supporting four lanes that can support read-out of video at 30 fps from the imager array and incorporating data output interface circuitry 314, interface control circuitry 316 and interface input circuitry 318. Typically, the bandwidth of each lane is optimized for the total number of pixels in the imager array and the desired frame rate. The use of various interfaces including the MIPI CSI 2 interface to transmit image data captured by an array of imagers within an imager array to an external device in accordance with embodiments of the invention is described in U.S. Patent 8,305,456, entitled "Systems and Methods for Transmitting Array Camera Data", issued November 6, 2012, the disclosure of which is incorporated by reference herein in its entirety.
[0028] Although specific components of an imager array architecture are discussed above with respect to FIG. 3, any of a variety of imager arrays can be constructed in accordance with embodiments of the invention that enable the capture of images of a scene at a plurality of focal planes in accordance with embodiments of the invention. Independent focal plane control that can be included in imager arrays in accordance with embodiments of the invention are discussed further below. Independent Focal Plane Control
[0029] Imager arrays in accordance with embodiments of the invention can include an array of focal planes that can independently be controlled. In this way, the image capture settings for each focal plane in an imager array can be configured differently. As is discussed further below, the ability to configure active focal planes using difference image capture settings can enable different cameras within an array camera module to capture image data at various exposure levels for creating high resolution images that can be composited to create HDR images.
[0030] An imager array including independent control of image capture settings and independent control of pixel readout in an array of focal planes in accordance with an embodiment of the invention is illustrated in FIG. 4. The imager array 400 includes a plurality of focal planes or pixel sub-arrays 402. Control circuitry 403, 404 provides independent control of the exposure timing and amplification gain applied to the individual pixels within each focal plane. Each focal plane 402 includes independent row timing circuitry 406, 408, and independent column readout circuitry 410, 412. In operation, the control circuitry 403, 404 determines the image capture settings of the pixels in each of the active focal planes 402. The row timing circuitry 406, 408 and the column readout circuitry 410, 412 are responsible for reading out image data from each of the pixels in the active focal planes. The image data read from the focal planes is then formatted for output using an output and control interface 416.
[0031] Although specific imager array configurations are discussed above with reference to FIG. 4, any of a variety of imager array configurations including independent and/or related focal plane control can be utilized in accordance with embodiments of the invention including those outlined in U.S. Patent Application Serial No. 13/106,797, entitled "Architectures for Imager Arrays and Array Cameras", filed May 12, 201 1 , the disclosure of which is incorporated by reference herein in its entirety. Processes for capturing HDR image data using array cameras are further discussed below. Capturing Image Data Using Single Frame HDR Mode
[0032] The dynamic range of a scene can be used to determine whether HDR imaging is appropriate. A scene's dynamic range can be measured using methods including (but not limited to) those disclosed in U.S. Provisional Patent Application Serial No. 61/775,395, entitled, "Systems and Methods for Measuring Scene Information while Capture Image Data", filed March 8, 2013, the disclosure of which is incorporated by reference herein in its entirety. Many times, the dynamic range of a camera module can capture the entire dynamic range of the scene and/or a portion of the dynamic range determined to be useful. In such situations, a standard capture mode (non HDR mode) where the same image capture settings can be utilized for the cameras in each color channel can be used to capture the full dynamic range of the scene. However, as illustrated in FIG. 5, the dynamic range of a scene 502 can be much greater than the dynamic range of a single camera in an array camera module 506. The difference in dynamic ranges creates a so called clipping affect at the outer limits of the camera's dynamic range 504, 508. The regions of the scene's dynamic range that are outside the camera module's dynamic range 506 are either underexposed or overexposed and thus image data is not accurately captured. Exposure times can be adjusted at multiple iterations to identify the exposure settings that best satisfy a set of predetermined criteria and/or to capture image data over the entire dynamic range of the scene for the purposes of HDR imaging. In various embodiments, optimal exposure settings may be determined using an iterative process. Processes for performing HDR image capture using subsets of active cameras within an array camera module in accordance with embodiments of the invention are discussed further below.
[0033] A process for performing HDR image capture utilizing subsets of active cameras within an array camera module in accordance with an embodiment of the invention is illustrated in FIG. 6. The process 600 includes capturing (602) image data using the active cameras of the camera module as discussed above. The captured image data can be analyzed to determine (604) the dynamic range of the scene. In order to decide whether to utilize the so called Single Frame HDR mode to capture image data using subsets of cameras configured at various settings, a determination (606) is made as to whether the dynamic range in the scene exceeds a predetermined threshold. In many embodiments of the invention, the threshold can be a function of the dynamic range of the camera module implemented in the imager array. If the dynamic range in the scene does not exceed the predetermined threshold value, a standard capture mode (non-HDR mode) is utilized to capture image data where the cameras in each color channel use the same image capture settings (616) and an image is synthesized (618) using the captured image data. If the dynamic range of the scene exceeds the threshold value, subsets of active cameras of a camera module can be determined (608) for use in HDR image capture as further described below. In various embodiments, the exposure settings can be determined in a manner well known to one of ordinary skill in the art including (but not limited to) selecting (610) dynamic range bracketing for the purpose of high dynamic range capture. For each subset of cameras, various exposure settings are determined (612) for capturing HDR image data. The exposure settings are used to configure (614) each subset of cameras of the camera module to capture image data at various exposure levels. The active cameras of each subset of cameras capture (616) image data at their respect exposure settings and an image can be synthesized (618) for each subset from the captured image data.
[0034] Although specific processes for performing HDR image capture using subsets of active cameras are discussed above with respect to FIG. 6, any of a variety of processes for performing HDR image capture using subsets of active cameras can be utilized as appropriate to the requirements of a specific application in accordance with embodiments of the invention. Capturing image data using subsets of active cameras for HDR image capture in accordance with embodiments of the invention are discussed further below.
Selecting Subsets of Active Cameras for use in HDR Image Capture
[0035] Active cameras in an array camera module in accordance with embodiments of the invention can be arranged into subsets and configured using various exposure settings to capture HDR image data that can be utilized to synthesize images. The ability to synthesize images can be enhanced by the selection of cameras in each subset. In many embodiments, the subsets are defined so that red (R) and blue (B) color information are symmetrically disposed about the green reference camera. Thus in a 2 dimensional array the red and blue color information should be available above, and below and left, and right of a green (G) reference camera, while in a linear array the red and blue color information is available to the left and right of the green reference color. In some embodiments, one could also have near-IR spectral color symmetrically disposed around the green reference camera. A camera module including a first subset of active cameras and a second set of active cameras configured to capture image data at various exposure levels in accordance with embodiments of the invention is illustrated in FIG. 7. The 4 x 4 array camera module 700 includes a first subset 702 of 8 active cameras including a green camera at the top left, top right, and bottom left corners, a green reference camera indicated by a box 704, blue cameras above and below the reference camera, and red cameras to the left and right sides of the reference camera. In several embodiments, the locations of the red and blue cameras within the first subset 702 are swapped and/or an alternative collection of cameras can be utilized. The array camera module 700 includes a second subset 706 of 8 active cameras including a row of blue, green, and red cameras placed below the first subset 702 and a column of red, green, and blue cameras placed to the right side of the first subset with a green camera connecting the row and the column and a green reference camera indicated by a box 708.
[0036] Depending on factors including (but not limited to) object location and light intensities within a scene, various arrangements of active cameras of a camera module into subsets can be determined. A camera module including a first subset of active cameras and a second subset of active cameras configured to capture image data at various exposure levels in accordance with embodiments of the invention is illustrated in FIG. 8. The 4 x 4 array camera module 800 is camera module 700 (FIG. 7) reflected along a diagonal axis and includes a first subset 802 of 8 active cameras including a green reference camera indicated by a box 804, a green camera at the top left corner with a row of red, green, and blue cameras to the right and a column of blue, green, and red cameras below. The camera module 800 includes a second subset 806 of 8 active cameras including a green camera at the bottom right, bottom left, and top right corners, a green reference camera indicated by a box 808, and red cameras above and below the reference camera, and blue cameras to the right and left of the reference camera. In several embodiments, the locations of the red and blue cameras within the subset 806 are swapped and/or an alternative collection of cameras can be utilized. In some embodiments, a subset of active cameras is configured to capture image data in conjunction with a flash that is triggered to illuminate the scene. The flash could have a spectral profile that is in the visible range of wavelengths for cameras in the subset that are sensitive to visible light. In other embodiments, the flash could have a spectral profile in the near-IR range for cameras that are near-IR sensitive.
[0037] As discussed above, various arrangements and collections of active cameras can be utilized in any of a variety of different array camera modules including array camera modules having any of a variety of number and/or arrangement of cameras in accordance with embodiments of the invention. A 5 x 5 array camera module including a first subset of active cameras and a second subset of active cameras, where each subset is configured to capture image data at various exposure levels in accordance with embodiments of the invention is illustrated in FIG. 9. The 5 x 5 camera module 900 includes a first subset of 13 active cameras denoted by the color of the camera and subscripted with the number 1 902. The first subset includes a top row comprising two green cameras with one at the center and the other at the far right corner; a second row comprising a blue, green, and red cameras positioned adjacent to each other starting with the blue camera from the far left side; a third row comprising a green center reference camera indicated by a box 904 and blue camera directly to the right of the reference camera 904; a fourth row comprising a red camera on the far left and a green camera one position from the far right; and a fifth row comprising a green, blue, green, and red cameras positioned adjacent to each other starting with the green camera from the far left corner. The camera module 900 includes a second subset of 12 active cameras denoted by the color of the camera subscripted with the number 2 906. The second subset includes a top row comprising a green camera at the top left corner, a red camera adjacent and to the right of the green camera, and a blue camera two positions to the right of the red camera; a second row comprising a red camera at the far right and a green camera adjacent and to the left the red camera; a third row comprising a green camera to the far left, a blue camera adjacent and to the right of the green camera, and another green camera at the far right; a fourth row comprising a red camera below the green reference camera 904, a green camera directly to the left of it, and a blue camera to the far right; and a fifth row comprising a green camera at the far right corner.
[0038] Although all of the cameras in the array camera modules illustrated in FIGS. 7, 8, and 9 are shown as capturing image data, in many embodiments one or more of the cameras within the array camera modules of FIGS. 7, 8, and 9 can be idle during image capture to conserve power as appropriate to the requirements of a specific application. Furthermore, the subsets need not contain the same number of cameras. In many embodiments, the cameras in an array camera module are configured into subsets having different numbers of cameras in order to perform HDR image capture.
[0039] Although specific arrangements of active cameras into a first, second and/or third subsets of active cameras of a camera module are discussed above with respect to FIGS. 7, 8, and 9, various camera module sizes and any of a variety of arrangements of active cameras into subsets of active cameras in camera modules can be utilized as appropriate to the requirements of a specific application in accordance with an embodiment of the invention. Processes for capturing image data at various exposure levels in consideration of objects within the scene are further described below.
Capturing Image Data Using Single Frame and/or Multiple Frame HDR Modes
[0040] Disparity increases the closer an object is to the cameras in an array camera module. When a smaller number of cameras capture image data, the likelihood that artifacts will be created near depth discontinuities in an image synthesized using the color data is increased due to the presence of occlusions. The likelihood that such artifacts will be present is highest when an object is close to the cameras and the disparity between the object in the captured images is greatest due to the fact that occlusion areas are largest. For scenes containing objects only at far distances and when using arrays with a limited number of cameras, single frame HDR mode may be utilized. At these distances, the likelihood of incurring significant occlusion artifacts is very small. In many embodiments of the invention, if an object within a scene is within a predetermined distance from the array camera module, then Multiple Frame HDR mode is utilized. The Multiple Frame HDR mode functions similar to traditional HDR imagining, where the same set of active cameras is used to capture successive image data using different capture settings. The sets of image data are used to synthesize high resolution images that are then composited to create an HDR image. The benefit of configuring the active cameras to capture successive set of image data using different image capture settings is that more cameras can be utilized relative to the Single Frame HDR mode and the likelihood of artifacts is reduced. If the object within the scene is a sufficient distance away, then Single Frame HDR mode can be utilized as described above. The threshold distance can be determined based on the camera array specification and depends on baseline between furthest cameras, focal length and the sensor pixel pitch using the general stereo disparity formula: disparity [in pixels] = baseline * focal length / (distance * pixel_pitch). In some embodiments, the threshold distance is computed such that the disparity between these furthest cameras is below 1 pixel such that the potential occlusion artifacts are minimized.
[0041] A process for performing HDR image capture using subsets an array camera in a manner that adapts based upon scene object distance in accordance with an embodiment of the invention is illustrated in FIG. 10. The process 1000 includes capturing image data using one or more active cameras. The image data can be optionally used to synthesize an image and generate (1002) a preview of the synthesized image. The synthesized image and/or captured image data is analyzed to estimate (1004) the dynamic range of the scene. In many embodiments, a determination is made (1006) as to whether the dynamic range of the scene exceeds a predetermined threshold. If the dynamic range of the scene does not exceed the predetermined threshold, HDR imaging is not utilized and image data is captured using a standard (non-HDR) image capture mode (1016). If the dynamic range in the scene does exceed a threshold value, then a depth map is generated (1008) based upon the preview and/or the captured image data. In various embodiments, the depth map can be generated using methods including (but not limited to) techniques disclosed in in U.S. Provisional Patent Application Serial No. 61/691 ,666, entitled, "Systems and Methods for Parallax Detection and Correction in Images Captured Using Array Cameras" filed August 21 , 2012, the disclosure of which is incorporated by reference herein in its entirety. In several embodiments, the depth map is evaluated to determine (1010) if an object is within a predetermined threshold distance from the array camera module. If the objects are within the threshold distance, then Multiple Frame HDR imaging mode is utilized (1012) to capture image data as described above. If the objects are not within the threshold distance, then Single Frame HDR imaging mode is utilized (1014) to capture image data as described above. In various embodiments, One-shot HDR imaging mode can be utilized to achieve exposure variation among exposure pattern groups of active cameras of an array while maintaining similar exposure parameters for all cameras within a specific color channel in the array as further discussed below.
[0042] Although specific processes for performing HDR imaging using subsets of active cameras in consideration of object distance are discussed above with respect to FIG. 10, any of a variety of processes for performing HDR imaging using subsets of active cameras in consideration of scene object distance can be utilized as appropriate to the requirements of a specific application in accordance with an embodiment of the invention. Capturing image data using One-shot HDR Mode imaging in accordance with embodiments of the invention are discussed further below.
One-shot (same-exposure) HDR Mode Imaging
[0043] As discussed above, HDR imaging can be achieved in an array camera by independently controlling exposure for various subsets of active cameras. Typically, when a particular subset of cameras are exposed differently than the cameras in a main exposure subset, a trade-off is made between spatial resolution in the main exposure for increased dynamic range (effectively increasing exposure sampling at the expense of decreased spatial sampling at the main exposure). However, in some systems and/or applications, it may be beneficial for all active cameras in the array to share the same exposure parameters (such as but not limited to systems where super-resolution processes are performed). [0044] In many embodiments, a so-called One-shot HDR mode can be utilized to achieve exposure variation among subsets of active cameras (exposure pattern groups) while maintaining similar exposure parameters (and specific integration times) for all cameras in the array. Such exposure variation can be achieved by varying transmittance from one exposure pattern groups to another. The One-shot HDR mode can be implemented utilizing filters including (but not limited to) color and/or neutral density filters. In several embodiments, color filters can be stacked or the thickness of a filter layer varied to allow for desired transmittance. In other embodiments, the transmittance of either individual cameras or a camera group may be controlled by an LCD placed in the optical path.
[0045] Exposure pattern groups can be determined by selecting a subset of active cameras and applying the color and/or neutral density filters to the subset. In many embodiments, neutral density filters corresponding to the exposure pattern group may be permanently applied in the optical path in front of a lens, between different lens elements and/or between the lens and the sensor or even lithographically deposited on the lens, sensor or additional glass carriers. In other embodiments, neutral density filters corresponding to desired exposure pattern groups may be inserted, on demand, in the optical path. Further, neutral density filters can be part of the camera array module internally and may be controlled mechanically and/or electronically or attached externally on top of the camera array module by the user whenever One-shot HDR mode is desired.
[0046] In many embodiments, the neutral density filters can be individual filters that are applied to each individual active camera or a single array filter that can be applied to all cameras of an exposure pattern group. Conceptual illustrations for applying various neutral density filters for desired exposure pattern groups in accordance with an embodiment of the invention is shown in FIGS. 1 1A-E. Application of individual neutral density filters for One-shot HDR mode in accordance with an embodiment of the invention is shown in FIGS. 1 1A-B. When One-shot HDR mode is not enabled 1 100, the neutral density filters 1 104 do not cover the optical paths of the lens 1 102. However, when One-shot HDR mode is enabled 1 1 10, the neutral density filters are placed in the optical path 1 1 12. The desired exposure pattern group can be created by placing one or more individual filters (as indicated by the shaded regions).
[0047] In some embodiments, particularly where the desired exposure pattern group represents cameras clustered close together, a single array neutral density filter can be used. Application of an array neutral density filter for One-shot HDR mode in accordance with an embodiment of the invention is shown in FIG. 1 1 C. When One-shot HDR mode is enabled 1 120, a single array filter 1 122 creates the desired exposure group. In several embodiments, a single neutral density filter can be applied using a rotating wheel mechanism. Application of array neutral density filters utilizing a rotational mechanism for One-shot HDR mode in accordance with embodiments of the invention are shown in FIGS. 1 1 D-E. When One-shot HDR mode is enabled 1 130, the array filter 1 132 covers the optical paths for the exposure pattern group. When One- shot HDR mode is not enabled, a rotational mechanism 1 134 removes the array filter. In various embodiments, the rotational mechanism 1 146 can provide for several exposure group patterns corresponding to different positions along the rotational path. In one position, an array filter 1 142 can cover one exposure pattern group. Upon rotation, another filter 1 144 can create a different exposure pattern group. Further, the rotational mechanism can also provide for not applying any filter at all. As discussed above, the shape and size of the neural density filters can vary along with the specific method of implementation. Although specific neutral density filters and their application to an array camera for enabling One-shot HDR mode are discussed above with respect to FIGS. 1 1 A-E, any of a variety of filters and applications to array cameras as appropriate to the requirements of the a specific application can be utilized in accordance with embodiments of the invention.
[0048] While the above description contains many specific embodiments of the invention, these should not be construed as limitations on the scope of the invention, but rather as an example of one embodiment thereof. It is therefore to be understood that the present invention may be practiced otherwise than specifically described, without departing from the scope and spirit of the present invention. Thus, embodiments of the present invention should be considered in all respects as illustrative and not restrictive.

Claims

WHAT IS CLAIMED IS:
1 . A method of generating a high dynamic range image using an array camera, the method comprising:
defining at least two subsets of active cameras;
determining image capture settings for each subset of active cameras, where the image capture settings include at least two exposure settings;
configuring the active cameras using the determined image capture settings for each subset;
capturing image data using the active cameras;
synthesizing an image for each of the at least two subset of active cameras using the captured image data; and
generating a high dynamic range image using the synthesized images.
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Cited By (57)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8896719B1 (en) 2008-05-20 2014-11-25 Pelican Imaging Corporation Systems and methods for parallax measurement using camera arrays incorporating 3 x 3 camera configurations
US9025894B2 (en) 2011-09-28 2015-05-05 Pelican Imaging Corporation Systems and methods for decoding light field image files having depth and confidence maps
US9041824B2 (en) 2010-12-14 2015-05-26 Pelican Imaging Corporation Systems and methods for dynamic refocusing of high resolution images generated using images captured by a plurality of imagers
US9049411B2 (en) 2008-05-20 2015-06-02 Pelican Imaging Corporation Camera arrays incorporating 3×3 imager configurations
US9100586B2 (en) 2013-03-14 2015-08-04 Pelican Imaging Corporation Systems and methods for photometric normalization in array cameras
US9100635B2 (en) 2012-06-28 2015-08-04 Pelican Imaging Corporation Systems and methods for detecting defective camera arrays and optic arrays
US9106784B2 (en) 2013-03-13 2015-08-11 Pelican Imaging Corporation Systems and methods for controlling aliasing in images captured by an array camera for use in super-resolution processing
US9124864B2 (en) 2013-03-10 2015-09-01 Pelican Imaging Corporation System and methods for calibration of an array camera
US9123117B2 (en) 2012-08-21 2015-09-01 Pelican Imaging Corporation Systems and methods for generating depth maps and corresponding confidence maps indicating depth estimation reliability
US9185276B2 (en) 2013-11-07 2015-11-10 Pelican Imaging Corporation Methods of manufacturing array camera modules incorporating independently aligned lens stacks
US9210392B2 (en) 2012-05-01 2015-12-08 Pelican Imaging Coporation Camera modules patterned with pi filter groups
US9214013B2 (en) 2012-09-14 2015-12-15 Pelican Imaging Corporation Systems and methods for correcting user identified artifacts in light field images
US9247117B2 (en) 2014-04-07 2016-01-26 Pelican Imaging Corporation Systems and methods for correcting for warpage of a sensor array in an array camera module by introducing warpage into a focal plane of a lens stack array
US9253380B2 (en) 2013-02-24 2016-02-02 Pelican Imaging Corporation Thin form factor computational array cameras and modular array cameras
US9264610B2 (en) 2009-11-20 2016-02-16 Pelican Imaging Corporation Capturing and processing of images including occlusions captured by heterogeneous camera arrays
CN105635564A (en) * 2014-11-21 2016-06-01 摩托罗拉移动有限责任公司 Multiple camera apparatus and method for synchronized autofocus
US9412206B2 (en) 2012-02-21 2016-08-09 Pelican Imaging Corporation Systems and methods for the manipulation of captured light field image data
US9426361B2 (en) 2013-11-26 2016-08-23 Pelican Imaging Corporation Array camera configurations incorporating multiple constituent array cameras
US9438888B2 (en) 2013-03-15 2016-09-06 Pelican Imaging Corporation Systems and methods for stereo imaging with camera arrays
WO2016141627A1 (en) * 2015-03-11 2016-09-15 宇龙计算机通信科技(深圳)有限公司 Image acquisition method, image acquisition device and terminal
US9462164B2 (en) 2013-02-21 2016-10-04 Pelican Imaging Corporation Systems and methods for generating compressed light field representation data using captured light fields, array geometry, and parallax information
US9497370B2 (en) 2013-03-15 2016-11-15 Pelican Imaging Corporation Array camera architecture implementing quantum dot color filters
US9497429B2 (en) 2013-03-15 2016-11-15 Pelican Imaging Corporation Extended color processing on pelican array cameras
US9516222B2 (en) 2011-06-28 2016-12-06 Kip Peli P1 Lp Array cameras incorporating monolithic array camera modules with high MTF lens stacks for capture of images used in super-resolution processing
US9521319B2 (en) 2014-06-18 2016-12-13 Pelican Imaging Corporation Array cameras and array camera modules including spectral filters disposed outside of a constituent image sensor
US9521416B1 (en) 2013-03-11 2016-12-13 Kip Peli P1 Lp Systems and methods for image data compression
US9519972B2 (en) 2013-03-13 2016-12-13 Kip Peli P1 Lp Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies
US9578259B2 (en) 2013-03-14 2017-02-21 Fotonation Cayman Limited Systems and methods for reducing motion blur in images or video in ultra low light with array cameras
US9633442B2 (en) 2013-03-15 2017-04-25 Fotonation Cayman Limited Array cameras including an array camera module augmented with a separate camera
US9741118B2 (en) 2013-03-13 2017-08-22 Fotonation Cayman Limited System and methods for calibration of an array camera
US9749568B2 (en) 2012-11-13 2017-08-29 Fotonation Cayman Limited Systems and methods for array camera focal plane control
US9766380B2 (en) 2012-06-30 2017-09-19 Fotonation Cayman Limited Systems and methods for manufacturing camera modules using active alignment of lens stack arrays and sensors
US9774789B2 (en) 2013-03-08 2017-09-26 Fotonation Cayman Limited Systems and methods for high dynamic range imaging using array cameras
US9794476B2 (en) 2011-09-19 2017-10-17 Fotonation Cayman Limited Systems and methods for controlling aliasing in images captured by an array camera for use in super resolution processing using pixel apertures
US9813616B2 (en) 2012-08-23 2017-11-07 Fotonation Cayman Limited Feature based high resolution motion estimation from low resolution images captured using an array source
US9866739B2 (en) 2011-05-11 2018-01-09 Fotonation Cayman Limited Systems and methods for transmitting and receiving array camera image data
US9888194B2 (en) 2013-03-13 2018-02-06 Fotonation Cayman Limited Array camera architecture implementing quantum film image sensors
US9898856B2 (en) 2013-09-27 2018-02-20 Fotonation Cayman Limited Systems and methods for depth-assisted perspective distortion correction
US9936148B2 (en) 2010-05-12 2018-04-03 Fotonation Cayman Limited Imager array interfaces
US9942474B2 (en) 2015-04-17 2018-04-10 Fotonation Cayman Limited Systems and methods for performing high speed video capture and depth estimation using array cameras
US9955070B2 (en) 2013-03-15 2018-04-24 Fotonation Cayman Limited Systems and methods for synthesizing high resolution images using image deconvolution based on motion and depth information
WO2018118542A1 (en) * 2016-12-20 2018-06-28 Microsoft Technology Licensing, Llc Dynamic range extension to produce high dynamic range images
US10089740B2 (en) 2014-03-07 2018-10-02 Fotonation Limited System and methods for depth regularization and semiautomatic interactive matting using RGB-D images
US10119808B2 (en) 2013-11-18 2018-11-06 Fotonation Limited Systems and methods for estimating depth from projected texture using camera arrays
US10122993B2 (en) 2013-03-15 2018-11-06 Fotonation Limited Autofocus system for a conventional camera that uses depth information from an array camera
US10250871B2 (en) 2014-09-29 2019-04-02 Fotonation Limited Systems and methods for dynamic calibration of array cameras
US10390005B2 (en) 2012-09-28 2019-08-20 Fotonation Limited Generating images from light fields utilizing virtual viewpoints
US10482618B2 (en) 2017-08-21 2019-11-19 Fotonation Limited Systems and methods for hybrid depth regularization
US10630888B2 (en) 2017-02-09 2020-04-21 Samsung Electronics Co., Ltd. Method and apparatus for selecting capture configuration based on scene analysis
US11270110B2 (en) 2019-09-17 2022-03-08 Boston Polarimetrics, Inc. Systems and methods for surface modeling using polarization cues
US11290658B1 (en) 2021-04-15 2022-03-29 Boston Polarimetrics, Inc. Systems and methods for camera exposure control
US11302012B2 (en) 2019-11-30 2022-04-12 Boston Polarimetrics, Inc. Systems and methods for transparent object segmentation using polarization cues
US11525906B2 (en) 2019-10-07 2022-12-13 Intrinsic Innovation Llc Systems and methods for augmentation of sensor systems and imaging systems with polarization
US11580667B2 (en) 2020-01-29 2023-02-14 Intrinsic Innovation Llc Systems and methods for characterizing object pose detection and measurement systems
US11689813B2 (en) 2021-07-01 2023-06-27 Intrinsic Innovation Llc Systems and methods for high dynamic range imaging using crossed polarizers
US11792538B2 (en) 2008-05-20 2023-10-17 Adeia Imaging Llc Capturing and processing of images including occlusions focused on an image sensor by a lens stack array
US11797863B2 (en) 2020-01-30 2023-10-24 Intrinsic Innovation Llc Systems and methods for synthesizing data for training statistical models on different imaging modalities including polarized images

Families Citing this family (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6184271B2 (en) * 2013-09-19 2017-08-23 キヤノン株式会社 Imaging management apparatus, imaging management system control method, and program
US9560287B2 (en) * 2014-12-19 2017-01-31 Sony Corporation Noise level based exposure time control for sequential subimages
US10171745B2 (en) * 2014-12-31 2019-01-01 Dell Products, Lp Exposure computation via depth-based computational photography
JP6493787B2 (en) * 2015-01-19 2019-04-03 株式会社リコー Imaging apparatus, imaging method, and imaging operation control program
US10024965B2 (en) * 2015-04-01 2018-07-17 Vayavision, Ltd. Generating 3-dimensional maps of a scene using passive and active measurements
US10542204B2 (en) * 2015-08-05 2020-01-21 Microsoft Technology Licensing, Llc Methods and apparatuses for capturing multiple digital image frames
US10129477B2 (en) * 2015-08-19 2018-11-13 Google Llc Smart image sensor having integrated memory and processor
US10178363B2 (en) * 2015-10-02 2019-01-08 Invensas Corporation HD color imaging using monochromatic CMOS image sensors integrated in 3D package
US11525735B2 (en) 2016-01-11 2022-12-13 Carrier Corporation Infrared presence detector system
CN107205109B (en) * 2016-03-18 2020-10-09 聚晶半导体股份有限公司 Electronic device with multiple camera modules and control method thereof
JP6741533B2 (en) * 2016-09-26 2020-08-19 キヤノン株式会社 Imaging control device and control method thereof
JP6588675B2 (en) * 2017-03-10 2019-10-09 富士フイルム株式会社 Image processing system, image processing apparatus, image processing method, and image processing program
US10643358B2 (en) * 2017-04-24 2020-05-05 Intel Corporation HDR enhancement with temporal multiplex
US10122943B1 (en) * 2017-05-05 2018-11-06 Motorola Mobility Llc High dynamic range sensor resolution using multiple image sensors
US10142543B1 (en) * 2017-05-12 2018-11-27 Mediatek Inc. Power reduction in a multi-sensor camera device by on-demand sensors activation
US10630901B2 (en) * 2017-05-23 2020-04-21 Google Llc Systems and methods for selectively activating high dynamic range in a video capture system
US10212356B1 (en) * 2017-05-31 2019-02-19 Snap Inc. Parallel high dynamic exposure range sensor
DE102017115432A1 (en) * 2017-07-10 2019-01-10 Karl Storz Se & Co. Kg Medical imaging system
KR101997991B1 (en) * 2017-11-29 2019-07-08 재단법인 다차원 스마트 아이티 융합시스템 연구단 Image merging method and system using viewpoint transformation
US10757340B2 (en) * 2018-03-09 2020-08-25 Pony Ai Inc. Adaptive filter system for self-driving vehicle
CN108337445B (en) * 2018-03-26 2020-06-26 华为技术有限公司 Photographing method, related device and computer storage medium
US11699207B2 (en) * 2018-08-20 2023-07-11 Waymo Llc Camera assessment techniques for autonomous vehicles
US11227409B1 (en) 2018-08-20 2022-01-18 Waymo Llc Camera assessment techniques for autonomous vehicles
CN109040596B (en) * 2018-08-27 2020-08-28 Oppo广东移动通信有限公司 Method for adjusting camera, mobile terminal and storage medium
CN109040597B (en) * 2018-08-28 2021-02-23 Oppo广东移动通信有限公司 Image processing method based on multiple cameras, mobile terminal and storage medium
US11606500B2 (en) * 2018-12-06 2023-03-14 Sony Semiconductor Solutions Corporation Reception apparatus and transmission apparatus
US11653101B2 (en) * 2019-05-17 2023-05-16 Samsung Electronics Co., Ltd. Imaging system for generating high dynamic range image
CN110266967B (en) * 2019-06-28 2021-01-15 Oppo广东移动通信有限公司 Image processing method, image processing device, storage medium and electronic equipment
KR20210002966A (en) * 2019-07-01 2021-01-11 삼성전자주식회사 Image sensor and driving method thereof
US11196937B2 (en) 2019-11-25 2021-12-07 Qualcomm Incorporated High frame rate in high dynamic range processing
CN111885285B (en) * 2020-06-29 2021-11-23 维沃移动通信(杭州)有限公司 Image shooting method and electronic equipment
WO2022016274A1 (en) 2020-07-21 2022-01-27 Leddartech Inc. Beam-steering devices and methods for lidar applications
US11567179B2 (en) 2020-07-21 2023-01-31 Leddartech Inc. Beam-steering device particularly for LIDAR systems
WO2022016277A1 (en) 2020-07-21 2022-01-27 Leddartech Inc. Systems and methods for wide-angle lidar using non-uniform magnification optics
CN112422784B (en) * 2020-10-12 2022-01-11 浙江大华技术股份有限公司 Imaging method, imaging apparatus, electronic apparatus, and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090274387A1 (en) * 2008-05-05 2009-11-05 Micron Technology, Inc. Method of capturing high dynamic range images with objects in the scene
US20110080487A1 (en) * 2008-05-20 2011-04-07 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with heterogeneous imagers
US20110300929A1 (en) * 2010-06-03 2011-12-08 Microsoft Corporation Synthesis of information from multiple audiovisual sources
US20120287291A1 (en) * 2011-05-11 2012-11-15 Pelican Imaging Corporation Systems and methods for transmitting and receiving array camera image data

Family Cites Families (787)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4124798A (en) 1965-12-09 1978-11-07 Thompson Kenneth B Optical viewing apparatus
US4198646A (en) 1978-10-13 1980-04-15 Hughes Aircraft Company Monolithic imager for near-IR
US4323925A (en) 1980-07-07 1982-04-06 Avco Everett Research Laboratory, Inc. Method and apparatus for arraying image sensor modules
JPS5769476A (en) 1980-10-16 1982-04-28 Fuji Xerox Co Ltd Reader control system
JPS5925483A (en) 1982-08-04 1984-02-09 Hitachi Denshi Ltd Solid state image pickup device
US4652909A (en) 1982-09-14 1987-03-24 New York Institute Of Technology Television camera and recording system for high definition television having imagers of different frame rate
US4460449A (en) 1983-01-03 1984-07-17 Amerace Corporation Apparatus for making a tool
EP0289885A1 (en) 1987-05-08 1988-11-09 Siemens Aktiengesellschaft Aperture system for production of several partical probes with changeable cross-section
JPS6437177A (en) 1987-08-03 1989-02-07 Canon Kk Image pickup device
EP0342419B1 (en) 1988-05-19 1992-10-28 Siemens Aktiengesellschaft Method for the observation of a scene and apparatus therefor
US5070414A (en) 1988-09-20 1991-12-03 Kabushiki Kaisha Toshiba Method and apparatus for reading image information formed on material
JPH02285772A (en) 1989-04-26 1990-11-26 Toshiba Corp Picture reader
US5157499A (en) 1990-06-29 1992-10-20 Kabushiki Kaisha N A C High-speed video camera using solid-state image sensor
US5144448A (en) 1990-07-31 1992-09-01 Vidar Systems Corporation Scanning apparatus using multiple CCD arrays and related method
US5325449A (en) 1992-05-15 1994-06-28 David Sarnoff Research Center, Inc. Method for fusing images and apparatus therefor
JP3032382B2 (en) 1992-07-13 2000-04-17 シャープ株式会社 Digital signal sampling frequency converter
US5659424A (en) 1993-05-25 1997-08-19 Hitachi, Ltd. Projecting lens and image display device
JPH0715457A (en) 1993-06-18 1995-01-17 Hitachi Ltd Digital communication switchover system
EP0677821A3 (en) 1994-04-14 1996-03-06 Hewlett Packard Co Magnify a digital image using feedback.
US20020195548A1 (en) 2001-06-06 2002-12-26 Dowski Edward Raymond Wavefront coding interference contrast imaging systems
US5629524A (en) 1995-02-21 1997-05-13 Advanced Scientific Concepts, Inc. High speed crystallography detector
EP0739039A3 (en) 1995-04-18 1998-03-04 Interuniversitair Micro-Elektronica Centrum Vzw Pixel structure, image sensor using such pixel, structure and corresponding peripheric circuitry
US6005607A (en) 1995-06-29 1999-12-21 Matsushita Electric Industrial Co., Ltd. Stereoscopic computer graphics image generating apparatus and stereoscopic TV apparatus
GB2302978A (en) 1995-07-04 1997-02-05 Sharp Kk LIquid crystal device
WO1997018633A1 (en) 1995-11-07 1997-05-22 California Institute Of Technology Capacitively coupled successive approximation ultra low power analog-to-digital converter
JPH09181913A (en) 1995-12-26 1997-07-11 Olympus Optical Co Ltd Camera system
US5793900A (en) 1995-12-29 1998-08-11 Stanford University Generating categorical depth maps using passive defocus sensing
US5973844A (en) 1996-01-26 1999-10-26 Proxemics Lenslet array systems and methods
US6124974A (en) 1996-01-26 2000-09-26 Proxemics Lenslet array systems and methods
US6493465B2 (en) 1996-02-21 2002-12-10 Canon Kabushiki Kaisha Matching point extracting method and apparatus therefor
US5832312A (en) 1996-02-22 1998-11-03 Eastman Kodak Company Watertight body for accommodating a photographic camera
MY118360A (en) 1996-04-30 2004-10-30 Nippon Telegraph & Telephone Scheme for detecting shot boundaries in compressed video data using inter-frame/inter field prediction coding and intra-frame/intra-field coding
US6002743A (en) 1996-07-17 1999-12-14 Telymonde; Timothy D. Method and apparatus for image acquisition from a plurality of cameras
GB9616262D0 (en) 1996-08-02 1996-09-11 Philips Electronics Nv Post-processing generation of focus/defocus effects for computer graphics images
US6141048A (en) 1996-08-19 2000-10-31 Eastman Kodak Company Compact image capture device
US6137535A (en) 1996-11-04 2000-10-24 Eastman Kodak Company Compact digital camera with segmented fields of view
US5808350A (en) 1997-01-03 1998-09-15 Raytheon Company Integrated IR, visible and NIR sensor and methods of fabricating same
JPH10232626A (en) 1997-02-20 1998-09-02 Canon Inc Stereoscopic image display device
US5801919A (en) 1997-04-04 1998-09-01 Gateway 2000, Inc. Adjustably mounted camera assembly for portable computers
US6097394A (en) 1997-04-28 2000-08-01 Board Of Trustees, Leland Stanford, Jr. University Method and system for light field rendering
US6515701B2 (en) 1997-07-24 2003-02-04 Polaroid Corporation Focal plane exposure control system for CMOS area image sensors
US6563537B1 (en) 1997-07-31 2003-05-13 Fuji Photo Film Co., Ltd. Image signal interpolation
JP3430935B2 (en) 1997-10-20 2003-07-28 富士ゼロックス株式会社 Image reading device and lens
JP4243779B2 (en) 1997-11-14 2009-03-25 株式会社ニコン Diffusion plate manufacturing method, diffusion plate, microlens array manufacturing method, and microlens array
NO305728B1 (en) 1997-11-14 1999-07-12 Reidar E Tangen Optoelectronic camera and method of image formatting in the same
US6069365A (en) 1997-11-25 2000-05-30 Alan Y. Chow Optical processor based imaging system
JPH11242189A (en) 1997-12-25 1999-09-07 Olympus Optical Co Ltd Method and device for forming image
US6721008B2 (en) 1998-01-22 2004-04-13 Eastman Kodak Company Integrated CMOS active pixel digital camera
JPH11223708A (en) 1998-02-09 1999-08-17 Nikon Corp Indentator and production of micro-optical element array
US6054703A (en) 1998-03-20 2000-04-25 Syscan, Inc. Sensing module for accelerating signal readout from image sensors
US6160909A (en) 1998-04-01 2000-12-12 Canon Kabushiki Kaisha Depth control for stereoscopic images
KR100307883B1 (en) 1998-04-13 2001-10-19 박호군 Method for measuring similarity by using a matching pixel count and apparatus for implementing the same
JP3931936B2 (en) 1998-05-11 2007-06-20 セイコーエプソン株式会社 Microlens array substrate, method for manufacturing the same, and display device
US6205241B1 (en) 1998-06-01 2001-03-20 Canon Kabushiki Kaisha Compression of stereoscopic images
US6137100A (en) 1998-06-08 2000-10-24 Photobit Corporation CMOS image sensor with different pixel sizes for different colors
US6069351A (en) 1998-07-16 2000-05-30 Intel Corporation Focal plane processor for scaling information from image sensors
US6903770B1 (en) 1998-07-27 2005-06-07 Sanyo Electric Co., Ltd. Digital camera which produces a single image based on two exposures
US6340994B1 (en) 1998-08-12 2002-01-22 Pixonics, Llc System and method for using temporal gamma and reverse super-resolution to process images for use in digital display systems
US6269175B1 (en) 1998-08-28 2001-07-31 Sarnoff Corporation Method and apparatus for enhancing regions of aligned images using flow estimation
US6879735B1 (en) 1998-09-14 2005-04-12 University Of Utah Reasearch Foundation Method of digital image enhancement and sharpening
US6310650B1 (en) 1998-09-23 2001-10-30 Honeywell International Inc. Method and apparatus for calibrating a tiled display
GB2343320B (en) 1998-10-31 2003-03-26 Ibm Camera system for three dimentional images and video
JP3596314B2 (en) 1998-11-02 2004-12-02 日産自動車株式会社 Object edge position measuring device and moving object traffic judging device
US6611289B1 (en) 1999-01-15 2003-08-26 Yanbin Yu Digital cameras using multiple sensors with multiple lenses
JP3875423B2 (en) 1999-01-19 2007-01-31 日本放送協会 Solid-state imaging device and video signal output device therefor
US6603513B1 (en) 1999-02-16 2003-08-05 Micron Technology, Inc. Using a single control line to provide select and reset signals to image sensors in two rows of a digital imaging device
US6563540B2 (en) 1999-02-26 2003-05-13 Intel Corporation Light sensor with increased dynamic range
US20020063807A1 (en) 1999-04-19 2002-05-30 Neal Margulis Method for Performing Image Transforms in a Digital Display System
US6819358B1 (en) 1999-04-26 2004-11-16 Microsoft Corporation Error calibration for digital image sensors and apparatus using the same
US6292713B1 (en) 1999-05-20 2001-09-18 Compaq Computer Corporation Robotic telepresence system
JP2001008235A (en) 1999-06-25 2001-01-12 Minolta Co Ltd Image input method for reconfiguring three-dimensional data and multiple-lens data input device
JP2001042042A (en) 1999-07-27 2001-02-16 Canon Inc Image pickup device
US6801653B1 (en) 1999-08-05 2004-10-05 Sony Corporation Information processing apparatus and method as well as medium
US7015954B1 (en) 1999-08-09 2006-03-21 Fuji Xerox Co., Ltd. Automatic video system using multiple cameras
US6647142B1 (en) 1999-08-19 2003-11-11 Mitsubishi Electric Research Laboratories, Inc. Badge identification system
US6771833B1 (en) 1999-08-20 2004-08-03 Eastman Kodak Company Method and system for enhancing digital images
US6628330B1 (en) 1999-09-01 2003-09-30 Neomagic Corp. Color interpolator and horizontal/vertical edge enhancer using two line buffer and alternating even/odd filters for digital camera
US6358862B1 (en) 1999-09-02 2002-03-19 Micron Technology, Inc Passivation integrity improvements
US6639596B1 (en) 1999-09-20 2003-10-28 Microsoft Corporation Stereo reconstruction from multiperspective panoramas
US6774941B1 (en) 1999-10-26 2004-08-10 National Semiconductor Corporation CCD output processing stage that amplifies signals from colored pixels based on the conversion efficiency of the colored pixels
US6671399B1 (en) 1999-10-27 2003-12-30 Canon Kabushiki Kaisha Fast epipolar line adjustment of stereo pairs
US6674892B1 (en) 1999-11-01 2004-01-06 Canon Kabushiki Kaisha Correcting an epipolar axis for skew and offset
JP2001195050A (en) 1999-11-05 2001-07-19 Mitsubishi Electric Corp Graphic accelerator
WO2001039512A1 (en) 1999-11-26 2001-05-31 Sanyo Electric Co., Ltd. Device and method for converting two-dimensional video to three-dimensional video
JP3950926B2 (en) 1999-11-30 2007-08-01 エーユー オプトロニクス コーポレイション Image display method, host device, image display device, and display interface
JP3728160B2 (en) 1999-12-06 2005-12-21 キヤノン株式会社 Depth image measuring apparatus and method, and mixed reality presentation system
US7068851B1 (en) 1999-12-10 2006-06-27 Ricoh Co., Ltd. Multiscale sharpening and smoothing with wavelets
FI107680B (en) 1999-12-22 2001-09-14 Nokia Oyj Procedure for transmitting video images, data transmission systems, transmitting video terminal and receiving video terminal
US6502097B1 (en) 1999-12-23 2002-12-31 Microsoft Corporation Data structure for efficient access to variable-size data objects
US6476805B1 (en) 1999-12-23 2002-11-05 Microsoft Corporation Techniques for spatial displacement estimation and multi-resolution operations on light fields
JP2001194114A (en) 2000-01-14 2001-07-19 Sony Corp Image processing apparatus and method and program providing medium
US6523046B2 (en) 2000-02-25 2003-02-18 Microsoft Corporation Infrastructure and method for supporting generic multimedia metadata
JP2001264033A (en) 2000-03-17 2001-09-26 Sony Corp Three-dimensional shape-measuring apparatus and its method, three-dimensional modeling device and its method, and program providing medium
US6571466B1 (en) 2000-03-27 2003-06-03 Amkor Technology, Inc. Flip chip image sensor package fabrication method
JP2001277260A (en) 2000-03-30 2001-10-09 Seiko Epson Corp Micro-lens array, its production method, and original board and display for producing it
KR20020084288A (en) 2000-04-04 2002-11-04 주식회사 아도반테스토 Multibeam exposure apparatus comprising multiaxis electron lens and method for manufacturing semiconductor device
WO2001082593A1 (en) 2000-04-24 2001-11-01 The Government Of The United States Of America, As Represented By The Secretary Of The Navy Apparatus and method for color image fusion
JP2001337263A (en) 2000-05-25 2001-12-07 Olympus Optical Co Ltd Range-finding device
WO2002009424A2 (en) 2000-07-21 2002-01-31 The Trustees Of Columbia University In The City Of New York Method and apparatus for image mosaicing
US7154546B1 (en) 2000-08-07 2006-12-26 Micron Technology, Inc. Pixel optimization for color
DE60115789T2 (en) 2000-08-25 2006-08-31 Fuji Photo Film Co., Ltd., Minami-Ashigara Apparatus for parallax image acquisition and parallax image processing
US7085409B2 (en) 2000-10-18 2006-08-01 Sarnoff Corporation Method and apparatus for synthesizing new video and/or still imagery from a collection of real video and/or still imagery
US6734905B2 (en) 2000-10-20 2004-05-11 Micron Technology, Inc. Dynamic range extension for CMOS image sensors
US7262799B2 (en) 2000-10-25 2007-08-28 Canon Kabushiki Kaisha Image sensing apparatus and its control method, control program, and storage medium
US6476971B1 (en) 2000-10-31 2002-11-05 Eastman Kodak Company Method of manufacturing a microlens array mold and a microlens array
JP3918499B2 (en) 2000-11-01 2007-05-23 セイコーエプソン株式会社 Gap measuring method, gap measuring device, shape measuring method, shape measuring device, and liquid crystal device manufacturing method
US6788338B1 (en) 2000-11-20 2004-09-07 Petko Dimitrov Dinev High resolution video camera apparatus having two image sensors and signal processing
US7490774B2 (en) 2003-11-13 2009-02-17 Metrologic Instruments, Inc. Hand-supportable imaging based bar code symbol reader employing automatic light exposure measurement and illumination control subsystem integrated therein
JP2002171537A (en) 2000-11-30 2002-06-14 Canon Inc Compound image pickup system, image pickup device and electronic device
US7260274B2 (en) 2000-12-01 2007-08-21 Imax Corporation Techniques and systems for developing high-resolution imagery
US7596281B2 (en) 2000-12-05 2009-09-29 Yeda Research And Development Co. Ltd. Apparatus and method for alignment of spatial or temporal non-overlapping images sequences
JP2002252338A (en) 2000-12-18 2002-09-06 Canon Inc Imaging device and imaging system
JP2002195910A (en) 2000-12-26 2002-07-10 Omron Corp System for testing optical part
JP2002209226A (en) 2000-12-28 2002-07-26 Canon Inc Image pickup device
US7805680B2 (en) 2001-01-03 2010-09-28 Nokia Corporation Statistical metering and filtering of content via pixel-based metadata
JP3957460B2 (en) 2001-01-15 2007-08-15 沖電気工業株式会社 Transmission header compression apparatus, moving picture encoding apparatus, and moving picture transmission system
US6635941B2 (en) 2001-03-21 2003-10-21 Canon Kabushiki Kaisha Structure of semiconductor device with improved reliability
JP2002324743A (en) 2001-04-24 2002-11-08 Canon Inc Exposing method and equipment thereof
US6443579B1 (en) 2001-05-02 2002-09-03 Kenneth Myers Field-of-view controlling arrangements
US20020167537A1 (en) 2001-05-11 2002-11-14 Miroslav Trajkovic Motion-based tracking with pan-tilt-zoom camera
US7235785B2 (en) 2001-05-11 2007-06-26 Irvine Sensors Corp. Imaging device with multiple fields of view incorporating memory-based temperature compensation of an uncooled focal plane array
WO2002096096A1 (en) 2001-05-16 2002-11-28 Zaxel Systems, Inc. 3d instant replay system and method
US7738013B2 (en) 2001-05-29 2010-06-15 Samsung Electronics Co., Ltd. Systems and methods for power conservation in a CMOS imager
AU2002305780A1 (en) 2001-05-29 2002-12-09 Transchip, Inc. Patent application cmos imager for cellular applications and methods of using such
US6482669B1 (en) 2001-05-30 2002-11-19 Taiwan Semiconductor Manufacturing Company Colors only process to reduce package yield loss
US6525302B2 (en) 2001-06-06 2003-02-25 The Regents Of The University Of Colorado Wavefront coding phase contrast imaging systems
US20030025227A1 (en) 2001-08-02 2003-02-06 Zograph, Llc Reproduction of relief patterns
EP1289309B1 (en) 2001-08-31 2010-04-21 STMicroelectronics Srl Noise filter for Bayer pattern image data
JP3978706B2 (en) 2001-09-20 2007-09-19 セイコーエプソン株式会社 Manufacturing method of fine structure
JP2003139910A (en) 2001-10-30 2003-05-14 Sony Corp Optical element, method and device for manufacturing the same, and liquid crystal display device and image projection type display device using the same
DE10153237A1 (en) 2001-10-31 2003-05-15 Lfk Gmbh Method and device for the automated determination of the modulation transfer function (MTF) of focal plane array (FPA) cameras
JP3705766B2 (en) 2001-11-28 2005-10-12 独立行政法人科学技術振興機構 Image input device
JP4249627B2 (en) 2001-12-18 2009-04-02 ザ ユニバーシティ オブ ロチェスター Imaging to obtain an extended focal length using a multifocal aspheric lens
US7302118B2 (en) 2002-02-07 2007-11-27 Microsoft Corporation Transformation of images
US20030179418A1 (en) 2002-03-19 2003-09-25 Eastman Kodak Company Producing a defective pixel map from defective cluster pixels in an area array image sensor
US8369607B2 (en) 2002-03-27 2013-02-05 Sanyo Electric Co., Ltd. Method and apparatus for processing three-dimensional images
JP2003298920A (en) 2002-03-29 2003-10-17 Fuji Photo Film Co Ltd Digital camera
US20030188659A1 (en) 2002-04-05 2003-10-09 Canadian Bank Note Company Limited Method and apparatus for reproducing a color image based on monochrome images derived therefrom
US6856314B2 (en) 2002-04-18 2005-02-15 Stmicroelectronics, Inc. Method and system for 3D reconstruction of multiple views with altering search path and occlusion modeling
JP3567327B2 (en) 2002-05-08 2004-09-22 富士写真光機株式会社 Imaging lens
US6783900B2 (en) 2002-05-13 2004-08-31 Micron Technology, Inc. Color filter imaging array and method of formation
JP2004048644A (en) 2002-05-21 2004-02-12 Sony Corp Information processor, information processing system and interlocutor display method
JP2003347192A (en) 2002-05-24 2003-12-05 Toshiba Corp Energy beam exposure method and exposure device
JP2004088713A (en) 2002-06-27 2004-03-18 Olympus Corp Image pickup lens unit and image pickup device
US7129981B2 (en) 2002-06-27 2006-10-31 International Business Machines Corporation Rendering system and method for images having differing foveal area and peripheral view area resolutions
JP4147059B2 (en) 2002-07-03 2008-09-10 株式会社トプコン Calibration data measuring device, measuring method and measuring program, computer-readable recording medium, and image data processing device
JP2004037924A (en) 2002-07-04 2004-02-05 Minolta Co Ltd Imaging apparatus
WO2004008403A2 (en) 2002-07-15 2004-01-22 Magna B.S.P. Ltd. Method and apparatus for implementing multipurpose monitoring system
US20040012689A1 (en) 2002-07-16 2004-01-22 Fairchild Imaging Charge coupled devices in tiled arrays
JP2004078296A (en) 2002-08-09 2004-03-11 Victor Co Of Japan Ltd Picture generation device
US7447380B2 (en) 2002-09-12 2008-11-04 Inoe Technologies, Llc Efficient method for creating a viewpoint from plurality of images
US20040050104A1 (en) 2002-09-18 2004-03-18 Eastman Kodak Company Forming information transfer lens array
US20040207836A1 (en) 2002-09-27 2004-10-21 Rajeshwar Chhibber High dynamic range optical inspection system and method
US7084904B2 (en) 2002-09-30 2006-08-01 Microsoft Corporation Foveated wide-angle imaging system and method for capturing and viewing wide-angle images in real time
US7477781B1 (en) 2002-10-10 2009-01-13 Dalsa Corporation Method and apparatus for adaptive pixel correction of multi-color matrix
US20040075654A1 (en) 2002-10-16 2004-04-22 Silicon Integrated Systems Corp. 3-D digital image processor and method for visibility processing for use in the same
JP4171786B2 (en) 2002-10-25 2008-10-29 コニカミノルタホールディングス株式会社 Image input device
US7742088B2 (en) 2002-11-19 2010-06-22 Fujifilm Corporation Image sensor and digital camera
EP1570683A1 (en) 2002-11-21 2005-09-07 Vision III Imaging, Inc. Critical alignment of parallax images for autostereoscopic display
US20040105021A1 (en) 2002-12-02 2004-06-03 Bolymedia Holdings Co., Ltd. Color filter patterns for image sensors
US20040114807A1 (en) 2002-12-13 2004-06-17 Dan Lelescu Statistical representation and coding of light field data
US6878918B2 (en) 2003-01-09 2005-04-12 Dialdg Semiconductor Gmbh APS pixel with reset noise suppression and programmable binning capability
US7340099B2 (en) 2003-01-17 2008-03-04 University Of New Brunswick System and method for image fusion
DE10301941B4 (en) 2003-01-20 2005-11-17 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Camera and method for optical recording of a screen
US7379592B2 (en) 2003-01-21 2008-05-27 United States Of America As Represented By The Secretary Of The Navy System and method for significant dust detection and enhancement of dust images over land and ocean
JP4214409B2 (en) 2003-01-31 2009-01-28 国立大学法人東京工業大学 High resolution color image generation method, high resolution color image generation apparatus, and high resolution color image generation program
US7005637B2 (en) 2003-01-31 2006-02-28 Intevac, Inc. Backside thinning of image array devices
US7308157B2 (en) 2003-02-03 2007-12-11 Photon Dynamics, Inc. Method and apparatus for optical inspection of a display
US7595817B1 (en) 2003-02-12 2009-09-29 The Research Foundation Of State University Of New York Linear system based, qualitative independent motion detection from compressed MPEG surveillance video
US20040165090A1 (en) 2003-02-13 2004-08-26 Alex Ning Auto-focus (AF) lens and process
JP2004266369A (en) 2003-02-21 2004-09-24 Sony Corp Solid-state image pickup unit and its driving method
US7106914B2 (en) 2003-02-27 2006-09-12 Microsoft Corporation Bayesian image super resolution
US7148861B2 (en) 2003-03-01 2006-12-12 The Boeing Company Systems and methods for providing enhanced vision imaging with decreased latency
US8218052B2 (en) 2003-03-07 2012-07-10 Iconix Video, Inc. High frame rate high definition imaging system and method
US7218320B2 (en) 2003-03-13 2007-05-15 Sony Corporation System and method for capturing facial and body motion
US6801719B1 (en) 2003-03-14 2004-10-05 Eastman Kodak Company Camera using beam splitter with micro-lens image amplification
US7206449B2 (en) 2003-03-19 2007-04-17 Mitsubishi Electric Research Laboratories, Inc. Detecting silhouette edges in images
US7425984B2 (en) 2003-04-04 2008-09-16 Stmicroelectronics, Inc. Compound camera and methods for implementing auto-focus, depth-of-field and high-resolution functions
US7373005B2 (en) 2003-04-10 2008-05-13 Micron Technology, Inc. Compression system for integrated sensor devices
US7097311B2 (en) 2003-04-19 2006-08-29 University Of Kentucky Research Foundation Super-resolution overlay in multi-projector displays
US6958862B1 (en) 2003-04-21 2005-10-25 Foveon, Inc. Use of a lenslet array with a vertically stacked pixel array
US7428330B2 (en) 2003-05-02 2008-09-23 Microsoft Corporation Cyclopean virtual imaging via generalized probabilistic smoothing
SE525665C2 (en) 2003-05-08 2005-03-29 Forskarpatent I Syd Ab Matrix of pixels and electronic imaging device comprising said matrix of pixels
US7800683B2 (en) 2003-05-13 2010-09-21 Xceed Imaging Ltd. Optical method and system for enhancing image resolution
JP2004348674A (en) 2003-05-26 2004-12-09 Noritsu Koki Co Ltd Region detection method and its device
US20040240052A1 (en) 2003-06-02 2004-12-02 Pentax Corporation Multiple-focal imaging device, and a mobile device having the multiple-focal-length imaging device
JP2004363478A (en) 2003-06-06 2004-12-24 Sanyo Electric Co Ltd Manufacturing method of semiconductor device
KR100539234B1 (en) 2003-06-11 2005-12-27 삼성전자주식회사 A CMOS type image sensor module having transparent polymeric encapsulation material
US6818934B1 (en) 2003-06-24 2004-11-16 Omnivision International Holding Ltd Image sensor having micro-lens array separated with trench structures and method of making
US7362918B2 (en) 2003-06-24 2008-04-22 Microsoft Corporation System and method for de-noising multiple copies of a signal
US7388609B2 (en) 2003-07-07 2008-06-17 Zoran Corporation Dynamic identification and correction of defective pixels
US7090135B2 (en) 2003-07-07 2006-08-15 Symbol Technologies, Inc. Imaging arrangement and barcode imager for imaging an optical code or target at a plurality of focal planes
US20050007461A1 (en) 2003-07-11 2005-01-13 Novatek Microelectronic Co. Correction system and method of analog front end
JP3731589B2 (en) 2003-07-18 2006-01-05 ソニー株式会社 Imaging device and synchronization signal generator
US7233737B2 (en) 2003-08-12 2007-06-19 Micron Technology, Inc. Fixed-focus camera module and associated method of assembly
US7643703B2 (en) 2003-09-03 2010-01-05 Battelle Energy Alliance, Llc Image change detection systems, methods, and articles of manufacture
US7161606B2 (en) 2003-09-08 2007-01-09 Honda Motor Co., Ltd. Systems and methods for directly generating a view using a layered approach
JP4020850B2 (en) 2003-10-06 2007-12-12 株式会社東芝 Magnetic recording medium manufacturing method, manufacturing apparatus, imprint stamper and manufacturing method thereof
EP2466871A3 (en) 2003-10-22 2017-05-03 Panasonic Intellectual Property Management Co., Ltd. Imaging apparatus and method for producing the same, portable equipment, and imaging sensor and method for producing the same.
US7840067B2 (en) 2003-10-24 2010-11-23 Arcsoft, Inc. Color matching and color correction for images forming a panoramic image
EP1686810A4 (en) 2003-11-11 2009-06-03 Olympus Corp Multi-spectrum image pick up device
JP4235539B2 (en) 2003-12-01 2009-03-11 独立行政法人科学技術振興機構 Image composition apparatus and image composition method
US20050128509A1 (en) 2003-12-11 2005-06-16 Timo Tokkonen Image creating method and imaging device
US7328288B2 (en) 2003-12-11 2008-02-05 Canon Kabushiki Kaisha Relay apparatus for relaying communication from CPU to peripheral device
US7453510B2 (en) 2003-12-11 2008-11-18 Nokia Corporation Imaging device
JP3859158B2 (en) 2003-12-16 2006-12-20 セイコーエプソン株式会社 Microlens concave substrate, microlens substrate, transmissive screen, and rear projector
US7511749B2 (en) 2003-12-18 2009-03-31 Aptina Imaging Corporation Color image sensor having imaging element array forming images on respective regions of sensor elements
US7123298B2 (en) 2003-12-18 2006-10-17 Avago Technologies Sensor Ip Pte. Ltd. Color image sensor with imaging elements imaging on respective regions of sensor elements
US7376250B2 (en) 2004-01-05 2008-05-20 Honda Motor Co., Ltd. Apparatus, method and program for moving object detection
US7496293B2 (en) 2004-01-14 2009-02-24 Elbit Systems Ltd. Versatile camera for various visibility conditions
US7773143B2 (en) 2004-04-08 2010-08-10 Tessera North America, Inc. Thin color camera having sub-pixel resolution
US8134637B2 (en) 2004-01-28 2012-03-13 Microsoft Corporation Method and system to increase X-Y resolution in a depth (Z) camera using red, blue, green (RGB) sensing
US7453688B2 (en) 2004-01-29 2008-11-18 Inventec Corporation Multimedia device for portable computers
US20050185711A1 (en) 2004-02-20 2005-08-25 Hanspeter Pfister 3D television system and method
SE527889C2 (en) 2004-03-17 2006-07-04 Thomas Jeff Adamo Apparatus for imaging an object
JP2006047944A (en) 2004-03-24 2006-02-16 Fuji Photo Film Co Ltd Photographing lens
WO2005096218A1 (en) 2004-03-31 2005-10-13 Canon Kabushiki Kaisha Imaging system performance measurement
US7633511B2 (en) 2004-04-01 2009-12-15 Microsoft Corporation Pop-up light field
JP4665422B2 (en) 2004-04-02 2011-04-06 ソニー株式会社 Imaging device
US8634014B2 (en) 2004-04-05 2014-01-21 Hewlett-Packard Development Company, L.P. Imaging device analysis systems and imaging device analysis methods
US7091531B2 (en) 2004-04-07 2006-08-15 Micron Technology, Inc. High dynamic range pixel amplifier
US8049806B2 (en) 2004-09-27 2011-11-01 Digitaloptics Corporation East Thin camera and associated methods
US7620265B1 (en) 2004-04-12 2009-11-17 Equinox Corporation Color invariant image fusion of visible and thermal infrared video
JP2005303694A (en) 2004-04-13 2005-10-27 Konica Minolta Holdings Inc Compound eye imaging device
US7292735B2 (en) 2004-04-16 2007-11-06 Microsoft Corporation Virtual image artifact detection
US7773404B2 (en) 2005-01-07 2010-08-10 Invisage Technologies, Inc. Quantum dot optical devices with enhanced gain and sensitivity and methods of making same
US8218625B2 (en) 2004-04-23 2012-07-10 Dolby Laboratories Licensing Corporation Encoding, decoding and representing high dynamic range images
US20060034531A1 (en) 2004-05-10 2006-02-16 Seiko Epson Corporation Block noise level evaluation method for compressed images and control method of imaging device utilizing the evaluation method
EP1750584B1 (en) 2004-05-14 2020-10-14 Philips Intellectual Property & Standards GmbH System and method for diagnosing breast cancer
US7355793B2 (en) 2004-05-19 2008-04-08 The Regents Of The University Of California Optical system applicable to improving the dynamic range of Shack-Hartmann sensors
US20050265633A1 (en) 2004-05-25 2005-12-01 Sarnoff Corporation Low latency pyramid processor for image processing systems
JP2005354124A (en) 2004-06-08 2005-12-22 Seiko Epson Corp Production of high pixel density image from a plurality of low pixel density images
US7330593B2 (en) 2004-06-25 2008-02-12 Stmicroelectronics, Inc. Segment based image matching method and system
JP4408755B2 (en) 2004-06-28 2010-02-03 Necエレクトロニクス株式会社 Deinterleaving device, mobile communication terminal, and deinterleaving method
JP4479373B2 (en) 2004-06-28 2010-06-09 ソニー株式会社 Image sensor
US7447382B2 (en) 2004-06-30 2008-11-04 Intel Corporation Computing a higher resolution image from multiple lower resolution images using model-based, robust Bayesian estimation
JP2006033228A (en) 2004-07-14 2006-02-02 Victor Co Of Japan Ltd Picture imaging apparatus
JP2006033493A (en) 2004-07-16 2006-02-02 Matsushita Electric Ind Co Ltd Imaging apparatus
US7189954B2 (en) 2004-07-19 2007-03-13 Micron Technology, Inc. Microelectronic imagers with optical devices and methods of manufacturing such microelectronic imagers
JP2006033570A (en) 2004-07-20 2006-02-02 Olympus Corp Image generating device
US8027531B2 (en) 2004-07-21 2011-09-27 The Board Of Trustees Of The Leland Stanford Junior University Apparatus and method for capturing a scene using staggered triggering of dense camera arrays
GB0416496D0 (en) 2004-07-23 2004-08-25 Council Of The Central Lab Of Imaging device
US20060023197A1 (en) 2004-07-27 2006-02-02 Joel Andrew H Method and system for automated production of autostereoscopic and animated prints and transparencies from digital and non-digital media
US7068432B2 (en) 2004-07-27 2006-06-27 Micron Technology, Inc. Controlling lens shape in a microlens array
DE102004036469A1 (en) 2004-07-28 2006-02-16 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Camera module, array based thereon and method for its production
US7333652B2 (en) 2004-08-03 2008-02-19 Sony Corporation System and method for efficiently performing a depth map recovery procedure
US20060028476A1 (en) 2004-08-03 2006-02-09 Irwin Sobel Method and system for providing extensive coverage of an object using virtual cameras
JP2006050263A (en) 2004-08-04 2006-02-16 Olympus Corp Image generation method and device
US7430339B2 (en) 2004-08-09 2008-09-30 Microsoft Corporation Border matting by dynamic programming
US7609302B2 (en) 2004-08-11 2009-10-27 Micron Technology, Inc. Correction of non-uniform sensitivity in an image array
US7061693B2 (en) 2004-08-16 2006-06-13 Xceed Imaging Ltd. Optical method and system for extended depth of focus
US7645635B2 (en) 2004-08-16 2010-01-12 Micron Technology, Inc. Frame structure and semiconductor attach process for use therewith for fabrication of image sensor packages and the like, and resulting packages
WO2006036398A2 (en) 2004-08-23 2006-04-06 Sarnoff Corporation Method and apparatus for producing a fused image
US7564019B2 (en) 2005-08-25 2009-07-21 Richard Ian Olsen Large dynamic range cameras
US7795577B2 (en) 2004-08-25 2010-09-14 Richard Ian Olsen Lens frame and optical focus assembly for imager module
US7916180B2 (en) 2004-08-25 2011-03-29 Protarius Filo Ag, L.L.C. Simultaneous multiple field of view digital cameras
CN101427372B (en) 2004-08-25 2012-12-12 普罗塔里斯菲洛有限责任公司 Apparatus for multiple camera devices and method of operating same
US8124929B2 (en) 2004-08-25 2012-02-28 Protarius Filo Ag, L.L.C. Imager module optical focus and assembly method
CN100489599C (en) 2004-08-26 2009-05-20 财团法人秋田企业活性化中心 Liquid crystal lens
JP4057597B2 (en) 2004-08-26 2008-03-05 独立行政法人科学技術振興機構 Optical element
US20060046204A1 (en) 2004-08-31 2006-03-02 Sharp Laboratories Of America, Inc. Directly patternable microlens
US20060055811A1 (en) 2004-09-14 2006-03-16 Frtiz Bernard S Imaging system having modules with adaptive optical elements
US7145124B2 (en) 2004-09-15 2006-12-05 Raytheon Company Multispectral imaging chip using photonic crystals
JP3977368B2 (en) 2004-09-30 2007-09-19 クラリオン株式会社 Parking assistance system
DE102004049676A1 (en) 2004-10-12 2006-04-20 Infineon Technologies Ag Method for computer-aided motion estimation in a plurality of temporally successive digital images, arrangement for computer-aided motion estimation, computer program element and computer-readable storage medium
JP2006119368A (en) 2004-10-21 2006-05-11 Konica Minolta Opto Inc Wide-angle optical system, imaging lens device, monitor camera and digital equipment
JP4534715B2 (en) 2004-10-22 2010-09-01 株式会社ニコン Imaging apparatus and image processing program
DE102004052994C5 (en) 2004-11-03 2010-08-26 Vistec Electron Beam Gmbh Multi-beam modulator for a particle beam and use of the multi-beam modulator for maskless substrate structuring
US7598996B2 (en) 2004-11-16 2009-10-06 Aptina Imaging Corporation System and method for focusing a digital camera
CN101111748B (en) 2004-12-03 2014-12-17 弗卢克公司 Visible light and ir combined image camera with a laser pointer
US7483065B2 (en) 2004-12-15 2009-01-27 Aptina Imaging Corporation Multi-lens imaging systems and methods using optical filters having mosaic patterns
US8854486B2 (en) 2004-12-17 2014-10-07 Mitsubishi Electric Research Laboratories, Inc. Method and system for processing multiview videos for view synthesis using skip and direct modes
US7728878B2 (en) 2004-12-17 2010-06-01 Mitsubishi Electric Research Labortories, Inc. Method and system for processing multiview videos for view synthesis using side information
US7430312B2 (en) 2005-01-07 2008-09-30 Gesturetek, Inc. Creating 3D images of objects by illuminating with infrared patterns
US7073908B1 (en) 2005-01-11 2006-07-11 Anthony Italo Provitola Enhancement of depth perception
US7767949B2 (en) 2005-01-18 2010-08-03 Rearden, Llc Apparatus and method for capturing still images and video using coded aperture techniques
US7671321B2 (en) 2005-01-18 2010-03-02 Rearden, Llc Apparatus and method for capturing still images and video using coded lens imaging techniques
US7602997B2 (en) 2005-01-19 2009-10-13 The United States Of America As Represented By The Secretary Of The Army Method of super-resolving images
US7408627B2 (en) 2005-02-08 2008-08-05 Canesta, Inc. Methods and system to quantify depth data accuracy in three-dimensional sensors using single frame capture
US7965314B1 (en) 2005-02-09 2011-06-21 Flir Systems, Inc. Foveal camera systems and methods
US7561191B2 (en) 2005-02-18 2009-07-14 Eastman Kodak Company Camera phone using multiple lenses and image sensors to provide an extended zoom range
EP2230482B1 (en) 2005-03-11 2013-10-30 Creaform Inc. Auto-referenced system and apparatus for three-dimensional scanning
JP2006258930A (en) 2005-03-15 2006-09-28 Nikon Corp Method for manufacturing microlens and method for manufacturing die for microlens
WO2006102181A1 (en) 2005-03-21 2006-09-28 Massachusetts Institute Of Technology (Mit) Real-time, continuous-wave terahertz imaging using a microbolometer focal-plane array
WO2006100903A1 (en) 2005-03-23 2006-09-28 Matsushita Electric Industrial Co., Ltd. On-vehicle imaging device
US7297917B2 (en) 2005-03-24 2007-11-20 Micron Technology, Inc. Readout technique for increasing or maintaining dynamic range in image sensors
US7880794B2 (en) 2005-03-24 2011-02-01 Panasonic Corporation Imaging device including a plurality of lens elements and a imaging sensor
US7683950B2 (en) 2005-04-26 2010-03-23 Eastman Kodak Company Method and apparatus for correcting a channel dependent color aberration in a digital image
US7656428B2 (en) 2005-05-05 2010-02-02 Avago Technologies General Ip (Singapore) Pte. Ltd. Imaging device employing optical motion sensor as gyroscope
EP1882449A4 (en) 2005-05-18 2010-05-05 Hitachi Medical Corp Radiograph and image processing program
US8411182B2 (en) 2005-06-02 2013-04-02 Xerox Corporation System for controlling integration times of photosensors in an imaging device
US7968888B2 (en) 2005-06-08 2011-06-28 Panasonic Corporation Solid-state image sensor and manufacturing method thereof
JP2006345233A (en) 2005-06-09 2006-12-21 Fujifilm Holdings Corp Imaging device and digital camera
KR100813961B1 (en) 2005-06-14 2008-03-14 삼성전자주식회사 Method and apparatus for transmitting and receiving of video, and transport stream structure thereof
US7364306B2 (en) 2005-06-20 2008-04-29 Digital Display Innovations, Llc Field sequential light source modulation for a digital display system
JP4826152B2 (en) 2005-06-23 2011-11-30 株式会社ニコン Image composition method and imaging apparatus
US20070102622A1 (en) 2005-07-01 2007-05-10 Olsen Richard I Apparatus for multiple camera devices and method of operating same
JP4577126B2 (en) 2005-07-08 2010-11-10 オムロン株式会社 Projection pattern generation apparatus and generation method for stereo correspondence
US20090268983A1 (en) 2005-07-25 2009-10-29 The Regents Of The University Of California Digital imaging system and method using multiple digital image sensors to produce large high-resolution gapless mosaic images
US8384763B2 (en) 2005-07-26 2013-02-26 Her Majesty the Queen in right of Canada as represented by the Minster of Industry, Through the Communications Research Centre Canada Generating a depth map from a two-dimensional source image for stereoscopic and multiview imaging
JP4903705B2 (en) 2005-07-26 2012-03-28 パナソニック株式会社 Compound-eye imaging device and manufacturing method thereof
US7969488B2 (en) 2005-08-03 2011-06-28 Micron Technologies, Inc. Correction of cluster defects in imagers
US7929801B2 (en) 2005-08-15 2011-04-19 Sony Corporation Depth information for auto focus using two pictures and two-dimensional Gaussian scale space theory
US20070041391A1 (en) 2005-08-18 2007-02-22 Micron Technology, Inc. Method and apparatus for controlling imager output data rate
US20070040922A1 (en) 2005-08-22 2007-02-22 Micron Technology, Inc. HDR/AB on multi-way shared pixels
US7964835B2 (en) 2005-08-25 2011-06-21 Protarius Filo Ag, L.L.C. Digital cameras with direct luminance and chrominance detection
US20070258006A1 (en) 2005-08-25 2007-11-08 Olsen Richard I Solid state camera optics frame and assembly
US20070083114A1 (en) 2005-08-26 2007-04-12 The University Of Connecticut Systems and methods for image resolution enhancement
JP4804856B2 (en) 2005-09-29 2011-11-02 富士フイルム株式会社 Single focus lens
WO2007036055A1 (en) 2005-09-30 2007-04-05 Simon Fraser University Methods and apparatus for detecting defects in imaging arrays by image analysis
WO2007044725A2 (en) 2005-10-07 2007-04-19 The Board Of Trustees Of The Leland Stanford Junior University Microscopy arrangements and approaches
US8300085B2 (en) 2005-10-14 2012-10-30 Microsoft Corporation Occlusion handling in stereo imaging
JP4773179B2 (en) 2005-10-14 2011-09-14 富士フイルム株式会社 Imaging device
US7806604B2 (en) 2005-10-20 2010-10-05 Honeywell International Inc. Face detection and tracking in a wide field of view
KR100730406B1 (en) 2005-11-16 2007-06-19 광운대학교 산학협력단 Three-dimensional display apparatus using intermediate elemental images
JP4389865B2 (en) 2005-11-17 2009-12-24 ソニー株式会社 SIGNAL PROCESSING DEVICE FOR SOLID-STATE IMAGING ELEMENT, SIGNAL PROCESSING METHOD, AND IMAGING DEVICE
US7599547B2 (en) 2005-11-30 2009-10-06 Microsoft Corporation Symmetric stereo model for handling occlusion
JP4887374B2 (en) 2005-11-30 2012-02-29 テレコム・イタリア・エッセ・ピー・アー A method for obtaining scattered parallax field in stereo vision
JP4516516B2 (en) 2005-12-07 2010-08-04 本田技研工業株式会社 Person detection device, person detection method, and person detection program
TWI296480B (en) 2005-12-19 2008-05-01 Quanta Comp Inc Image camera of an electronic device
JP4501855B2 (en) 2005-12-22 2010-07-14 ソニー株式会社 Image signal processing apparatus, imaging apparatus, image signal processing method, and computer program
JP2007180730A (en) 2005-12-27 2007-07-12 Eastman Kodak Co Digital camera and data management method
US7855786B2 (en) 2006-01-09 2010-12-21 Bae Systems Spectral Solutions Llc Single camera multi-spectral imager
US7675080B2 (en) 2006-01-10 2010-03-09 Aptina Imaging Corp. Uniform color filter arrays in a moat
WO2007083579A1 (en) 2006-01-20 2007-07-26 Matsushita Electric Industrial Co., Ltd. Compound eye camera module and method of producing the same
DE102006004802B4 (en) 2006-01-23 2008-09-25 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Image acquisition system and method for producing at least one image capture system
JP4834412B2 (en) 2006-02-03 2011-12-14 富士フイルム株式会社 Solid-state imaging device and electronic endoscope using the same
US20070201859A1 (en) 2006-02-24 2007-08-30 Logitech Europe S.A. Method and system for use of 3D sensors in an image capture device
US7391572B2 (en) 2006-03-01 2008-06-24 International Business Machines Corporation Hybrid optical/electronic structures fabricated by a common molding process
US7924483B2 (en) 2006-03-06 2011-04-12 Smith Scott T Fused multi-array color image sensor
US7616254B2 (en) 2006-03-16 2009-11-10 Sony Corporation Simple method for calculating camera defocus from an image scene
US8360574B2 (en) 2006-03-20 2013-01-29 High Performance Optics, Inc. High performance selective light wavelength filtering providing improved contrast sensitivity
JP4615468B2 (en) 2006-03-23 2011-01-19 富士フイルム株式会社 Imaging device
US7606484B1 (en) 2006-03-23 2009-10-20 Flir Systems, Inc. Infrared and near-infrared camera hyperframing
US7342212B2 (en) 2006-03-31 2008-03-11 Micron Technology, Inc. Analog vertical sub-sampling in an active pixel sensor (APS) image sensor
US7916934B2 (en) 2006-04-04 2011-03-29 Mitsubishi Electric Research Laboratories, Inc. Method and system for acquiring, encoding, decoding and displaying 3D light fields
US8044994B2 (en) 2006-04-04 2011-10-25 Mitsubishi Electric Research Laboratories, Inc. Method and system for decoding and displaying 3D light fields
TW200740212A (en) 2006-04-10 2007-10-16 Sony Taiwan Ltd A stitching accuracy improvement method with lens distortion correction
CN101064780B (en) 2006-04-30 2012-07-04 台湾新力国际股份有限公司 Method and apparatus for improving image joint accuracy using lens distortion correction
US20070263114A1 (en) 2006-05-01 2007-11-15 Microalign Technologies, Inc. Ultra-thin digital imaging device of high resolution for mobile electronic devices and method of imaging
US7580620B2 (en) 2006-05-08 2009-08-25 Mitsubishi Electric Research Laboratories, Inc. Method for deblurring images using optimized temporal coding patterns
US9736346B2 (en) 2006-05-09 2017-08-15 Stereo Display, Inc Imaging system improving image resolution of the system with low resolution image sensor
US7889264B2 (en) 2006-05-12 2011-02-15 Ricoh Co., Ltd. End-to-end design of superresolution electro-optic imaging systems
US7916362B2 (en) 2006-05-22 2011-03-29 Eastman Kodak Company Image sensor with improved light sensitivity
US8139142B2 (en) 2006-06-01 2012-03-20 Microsoft Corporation Video manipulation of red, green, blue, distance (RGB-Z) data including segmentation, up-sampling, and background substitution techniques
IES20070229A2 (en) 2006-06-05 2007-10-03 Fotonation Vision Ltd Image acquisition method and apparatus
US20070177004A1 (en) 2006-06-08 2007-08-02 Timo Kolehmainen Image creating method and imaging device
JP4631811B2 (en) 2006-06-12 2011-02-16 株式会社日立製作所 Imaging device
JP5106870B2 (en) 2006-06-14 2012-12-26 株式会社東芝 Solid-state image sensor
FR2902530A1 (en) 2006-06-19 2007-12-21 St Microelectronics Rousset Polymer lens fabricating method for e.g. complementary MOS imager, involves realizing opaque zones on convex lens by degrading molecular structure of polymer material, where zones form diaphragm and diffraction network that forms filter
TWI362550B (en) 2007-06-21 2012-04-21 Ether Precision Inc The method for manufacturing the image captures unit
US7925117B2 (en) 2006-06-27 2011-04-12 Honeywell International Inc. Fusion of sensor data and synthetic data to form an integrated image
KR100793369B1 (en) 2006-07-06 2008-01-11 삼성전자주식회사 Image sensor for improving the resolution and method of sensing the image for improving it
US20080024683A1 (en) 2006-07-31 2008-01-31 Niranjan Damera-Venkata Overlapped multi-projector system with dithering
JP2008039852A (en) 2006-08-01 2008-02-21 Agc Techno Glass Co Ltd Glass optical element and its manufacturing method
US20080030592A1 (en) 2006-08-01 2008-02-07 Eastman Kodak Company Producing digital image with different resolution portions
US8406562B2 (en) 2006-08-11 2013-03-26 Geo Semiconductor Inc. System and method for automated calibration and correction of display geometry and color
EP1892688B1 (en) 2006-08-24 2010-09-01 Valeo Vision Method for determining the passing of a vehicle in a bottleneck
US8687087B2 (en) 2006-08-29 2014-04-01 Csr Technology Inc. Digital camera with selectively increased dynamic range by control of parameters during image acquisition
US8306063B2 (en) 2006-08-29 2012-11-06 EXFO Services Assurance, Inc. Real-time transport protocol stream detection system and method
KR100746360B1 (en) 2006-08-31 2007-08-06 삼성전기주식회사 Manufacturing method of stamper
NO326372B1 (en) 2006-09-21 2008-11-17 Polight As Polymer Lens
WO2008039802A2 (en) 2006-09-25 2008-04-03 Ophthonix, Incorporated Method for correction of chromatic aberration and achromatic lens
JP4403162B2 (en) 2006-09-29 2010-01-20 株式会社東芝 Stereoscopic image display device and method for producing stereoscopic image
US20080080028A1 (en) 2006-10-02 2008-04-03 Micron Technology, Inc. Imaging method, apparatus and system having extended depth of field
US8031258B2 (en) 2006-10-04 2011-10-04 Omnivision Technologies, Inc. Providing multiple video signals from single sensor
EP2074445B1 (en) 2006-10-11 2017-04-12 poLight AS Method for manufacturing adjustable lens
CN101600976B (en) 2006-10-11 2011-11-09 珀莱特公司 Design of compact adjustable lens
US8073196B2 (en) 2006-10-16 2011-12-06 University Of Southern California Detection and tracking of moving objects from a moving platform in presence of strong parallax
US7702229B2 (en) 2006-10-18 2010-04-20 Eastman Kodak Company Lens array assisted focus detection
JP4349456B2 (en) 2006-10-23 2009-10-21 ソニー株式会社 Solid-state image sensor
US20100103175A1 (en) 2006-10-25 2010-04-29 Tokyo Institute Of Technology Method for generating a high-resolution virtual-focal-plane image
US7888159B2 (en) 2006-10-26 2011-02-15 Omnivision Technologies, Inc. Image sensor having curved micro-mirrors over the sensing photodiode and method for fabricating
JP4452951B2 (en) 2006-11-02 2010-04-21 富士フイルム株式会社 Distance image generation method and apparatus
KR20080043106A (en) 2006-11-13 2008-05-16 삼성전자주식회사 Optical lens and manufacturing method thereof
US8059162B2 (en) 2006-11-15 2011-11-15 Sony Corporation Imaging apparatus and method, and method for designing imaging apparatus
US20080118241A1 (en) 2006-11-16 2008-05-22 Tekolste Robert Control of stray light in camera systems employing an optics stack and associated methods
US8538166B2 (en) 2006-11-21 2013-09-17 Mantisvision Ltd. 3D geometric modeling and 3D video content creation
KR20080047002A (en) 2006-11-24 2008-05-28 엘지이노텍 주식회사 Lens assembly and method manufacturing the same for camera module
US8559705B2 (en) 2006-12-01 2013-10-15 Lytro, Inc. Interactive refocusing of electronic images
JP4406937B2 (en) 2006-12-01 2010-02-03 富士フイルム株式会社 Imaging device
US20100265385A1 (en) 2009-04-18 2010-10-21 Knight Timothy J Light Field Camera Image, File and Configuration Data, and Methods of Using, Storing and Communicating Same
JP5040493B2 (en) 2006-12-04 2012-10-03 ソニー株式会社 Imaging apparatus and imaging method
US8242426B2 (en) 2006-12-12 2012-08-14 Dolby Laboratories Licensing Corporation Electronic camera having multiple sensors for capturing high dynamic range images and related methods
US7646549B2 (en) 2006-12-18 2010-01-12 Xceed Imaging Ltd Imaging system and method for providing extended depth of focus, range extraction and super resolved imaging
US8213500B2 (en) 2006-12-21 2012-07-03 Sharp Laboratories Of America, Inc. Methods and systems for processing film grain noise
TWI324015B (en) 2006-12-22 2010-04-21 Ind Tech Res Inst Autofocus searching method
US8103111B2 (en) 2006-12-26 2012-01-24 Olympus Imaging Corp. Coding method, electronic camera, recording medium storing coded program, and decoding method
US20080158259A1 (en) 2006-12-28 2008-07-03 Texas Instruments Incorporated Image warping and lateral color correction
US7973823B2 (en) 2006-12-29 2011-07-05 Nokia Corporation Method and system for image pre-processing
US20080158698A1 (en) 2006-12-29 2008-07-03 Chao-Chi Chang Lens barrel array and lens array and the method of making the same
US20080165257A1 (en) 2007-01-05 2008-07-10 Micron Technology, Inc. Configurable pixel array system and method
US8655052B2 (en) 2007-01-26 2014-02-18 Intellectual Discovery Co., Ltd. Methodology for 3D scene reconstruction from 2D image sequences
JP5024992B2 (en) 2007-02-02 2012-09-12 株式会社ジャパンディスプレイセントラル Display device
US7792423B2 (en) 2007-02-06 2010-09-07 Mitsubishi Electric Research Laboratories, Inc. 4D light field cameras
CN100585453C (en) 2007-02-09 2010-01-27 奥林巴斯映像株式会社 Decoding method and decoding apparatus
JP4386083B2 (en) 2007-02-27 2009-12-16 トヨタ自動車株式会社 Parking assistance device
JP4153013B1 (en) 2007-03-06 2008-09-17 シャープ株式会社 Imaging lens, imaging unit, and portable information terminal including the same
US7755679B2 (en) 2007-03-07 2010-07-13 Altasens, Inc. Apparatus and method for reducing edge effect in an image sensor
US7859588B2 (en) 2007-03-09 2010-12-28 Eastman Kodak Company Method and apparatus for operating a dual lens camera to augment an image
US7683962B2 (en) 2007-03-09 2010-03-23 Eastman Kodak Company Camera using multiple lenses and image sensors in a rangefinder configuration to provide a range map
US7676146B2 (en) 2007-03-09 2010-03-09 Eastman Kodak Company Camera using multiple lenses and image sensors to provide improved focusing capability
US7729602B2 (en) 2007-03-09 2010-06-01 Eastman Kodak Company Camera using multiple lenses and image sensors operable in a default imaging mode
JP2008242658A (en) 2007-03-26 2008-10-09 Funai Electric Co Ltd Three-dimensional object imaging apparatus
JP4915859B2 (en) 2007-03-26 2012-04-11 船井電機株式会社 Object distance deriving device
US7738017B2 (en) 2007-03-27 2010-06-15 Aptina Imaging Corporation Method and apparatus for automatic linear shift parallax correction for multi-array image systems
US8165418B2 (en) 2007-03-30 2012-04-24 Brother Kogyo Kabushiki Kaisha Image processor
US8493496B2 (en) 2007-04-02 2013-07-23 Primesense Ltd. Depth mapping using projected patterns
US8098941B2 (en) 2007-04-03 2012-01-17 Aptina Imaging Corporation Method and apparatus for parallelization of image compression encoders
US8213711B2 (en) 2007-04-03 2012-07-03 Her Majesty The Queen In Right Of Canada As Represented By The Minister Of Industry, Through The Communications Research Centre Canada Method and graphical user interface for modifying depth maps
CN101281282A (en) 2007-04-04 2008-10-08 鸿富锦精密工业(深圳)有限公司 Lens module
JP2008258885A (en) 2007-04-04 2008-10-23 Texas Instr Japan Ltd Imaging apparatus and driving method of imaging apparatus
EP2432015A1 (en) 2007-04-18 2012-03-21 Invisage Technologies, Inc. Materials, systems and methods for optoelectronic devices
WO2009023044A2 (en) 2007-04-24 2009-02-19 21 Ct, Inc. Method and system for fast dense stereoscopic ranging
KR100869219B1 (en) 2007-05-03 2008-11-18 동부일렉트로닉스 주식회사 Image Sensor and Method for Manufacturing thereof
US8462220B2 (en) 2007-05-09 2013-06-11 Aptina Imaging Corporation Method and apparatus for improving low-light performance for small pixel image sensors
US7812869B2 (en) 2007-05-11 2010-10-12 Aptina Imaging Corporation Configurable pixel array system and method
JP4341695B2 (en) 2007-05-17 2009-10-07 ソニー株式会社 Image input processing device, imaging signal processing circuit, and imaging signal noise reduction method
JP4337911B2 (en) 2007-05-24 2009-09-30 ソニー株式会社 Imaging device, imaging circuit, and imaging method
US20080298674A1 (en) 2007-05-29 2008-12-04 Image Masters Inc. Stereoscopic Panoramic imaging system
US7733575B2 (en) 2007-05-31 2010-06-08 Artificial Muscle, Inc. Optical systems employing compliant electroactive materials
US8290358B1 (en) 2007-06-25 2012-10-16 Adobe Systems Incorporated Methods and apparatus for light-field imaging
KR101545008B1 (en) 2007-06-26 2015-08-18 코닌클리케 필립스 엔.브이. Method and system for encoding a 3d video signal, enclosed 3d video signal, method and system for decoder for a 3d video signal
WO2009008864A1 (en) 2007-07-12 2009-01-15 Thomson Licensing System and method for three-dimensional object reconstruction from two-dimensional images
US8125619B2 (en) 2007-07-25 2012-02-28 Eminent Electronic Technology Corp. Integrated ambient light sensor and distance sensor
JP5006727B2 (en) 2007-07-26 2012-08-22 株式会社リコー Image processing apparatus and digital camera
US8559756B2 (en) 2007-08-06 2013-10-15 Adobe Systems Incorporated Radiance processing by demultiplexing in the frequency domain
EP2034338A1 (en) 2007-08-11 2009-03-11 ETH Zurich Liquid Lens System
EP2026563A1 (en) 2007-08-14 2009-02-18 Deutsche Thomson OHG System and method for detecting defective pixels
US7782364B2 (en) 2007-08-21 2010-08-24 Aptina Imaging Corporation Multi-array sensor with integrated sub-array for parallax detection and photometer functionality
US7973834B2 (en) 2007-09-24 2011-07-05 Jianwen Yang Electro-optical foveated imaging and tracking system
US20090086074A1 (en) 2007-09-27 2009-04-02 Omnivision Technologies, Inc. Dual mode camera solution apparatus, system, and method
US7940311B2 (en) * 2007-10-03 2011-05-10 Nokia Corporation Multi-exposure pattern for enhancing dynamic range of images
JP5172267B2 (en) 2007-10-09 2013-03-27 富士フイルム株式会社 Imaging device
US8049289B2 (en) 2007-10-11 2011-11-01 Dongbu Hitek Co., Ltd. Image sensor and method for manufacturing the same
US7956924B2 (en) 2007-10-18 2011-06-07 Adobe Systems Incorporated Fast computational camera based on two arrays of lenses
US7920193B2 (en) 2007-10-23 2011-04-05 Aptina Imaging Corporation Methods, systems and apparatuses using barrier self-calibration for high dynamic range imagers
US7777804B2 (en) 2007-10-26 2010-08-17 Omnivision Technologies, Inc. High dynamic range sensor with reduced line memory for color interpolation
WO2009061814A2 (en) 2007-11-05 2009-05-14 University Of Florida Research Foundation, Inc. Lossless data compression and real-time decompression
US20090128644A1 (en) 2007-11-15 2009-05-21 Camp Jr William O System and method for generating a photograph
US7852461B2 (en) 2007-11-15 2010-12-14 Microsoft International Holdings B.V. Dual mode depth imaging
US8351685B2 (en) 2007-11-16 2013-01-08 Gwangju Institute Of Science And Technology Device and method for estimating depth map, and method for generating intermediate image and method for encoding multi-view video using the same
US8126279B2 (en) 2007-11-19 2012-02-28 The University Of Arizona Lifting-based view compensated compression and remote visualization of volume rendered images
KR20090055803A (en) 2007-11-29 2009-06-03 광주과학기술원 Method and apparatus for generating multi-viewpoint depth map, method for generating disparity of multi-viewpoint image
JP5010445B2 (en) 2007-11-29 2012-08-29 パナソニック株式会社 Manufacturing method of mold for microlens array
GB2455316B (en) 2007-12-04 2012-08-15 Sony Corp Image processing apparatus and method
US8384803B2 (en) 2007-12-13 2013-02-26 Keigo Iizuka Camera system and method for amalgamating images to create an omni-focused image
TWI353778B (en) 2007-12-21 2011-12-01 Ind Tech Res Inst Moving object detection apparatus and method
US7880807B2 (en) 2007-12-26 2011-02-01 Sony Ericsson Mobile Communications Ab Camera system with mirror arrangement for generating self-portrait panoramic pictures
TWI362628B (en) 2007-12-28 2012-04-21 Ind Tech Res Inst Methof for producing an image with depth by using 2d image
US20110031381A1 (en) 2007-12-28 2011-02-10 Hiok-Nam Tay Light guide array for an image sensor
JP4413261B2 (en) 2008-01-10 2010-02-10 シャープ株式会社 Imaging apparatus and optical axis control method
JP5198295B2 (en) 2008-01-15 2013-05-15 富士フイルム株式会社 Image sensor position adjustment method, camera module manufacturing method and apparatus, and camera module
US7962033B2 (en) 2008-01-23 2011-06-14 Adobe Systems Incorporated Methods and apparatus for full-resolution light-field capture and rendering
US8189065B2 (en) 2008-01-23 2012-05-29 Adobe Systems Incorporated Methods and apparatus for full-resolution light-field capture and rendering
JP4956452B2 (en) 2008-01-25 2012-06-20 富士重工業株式会社 Vehicle environment recognition device
US8824833B2 (en) 2008-02-01 2014-09-02 Omnivision Technologies, Inc. Image data fusion systems and methods
GB0802290D0 (en) 2008-02-08 2008-03-12 Univ Kent Canterbury Camera adapter based optical imaging apparatus
US8319301B2 (en) 2008-02-11 2012-11-27 Omnivision Technologies, Inc. Self-aligned filter for an image sensor
JP2009206922A (en) 2008-02-28 2009-09-10 Funai Electric Co Ltd Compound-eye imaging apparatus
CN101520532A (en) 2008-02-29 2009-09-02 鸿富锦精密工业(深圳)有限公司 Composite lens
US9094675B2 (en) 2008-02-29 2015-07-28 Disney Enterprises Inc. Processing image data from multiple cameras for motion pictures
DE112009000480T5 (en) 2008-03-03 2011-04-07 VideoIQ, Inc., Bedford Dynamic object classification
WO2009119229A1 (en) 2008-03-26 2009-10-01 コニカミノルタホールディングス株式会社 Three-dimensional imaging device and method for calibrating three-dimensional imaging device
US8497905B2 (en) 2008-04-11 2013-07-30 nearmap australia pty ltd. Systems and methods of capturing large area images in detail including cascaded cameras and/or calibration features
US8259208B2 (en) 2008-04-15 2012-09-04 Sony Corporation Method and apparatus for performing touch-based adjustments within imaging devices
US7843554B2 (en) 2008-04-25 2010-11-30 Rockwell Collins, Inc. High dynamic range sensor system and method
US8155456B2 (en) 2008-04-29 2012-04-10 Adobe Systems Incorporated Method and apparatus for block-based compression of light-field images
US8280194B2 (en) 2008-04-29 2012-10-02 Sony Corporation Reduced hardware implementation for a two-picture depth map algorithm
EP2283644A4 (en) 2008-05-09 2011-10-26 Ecole Polytech Image sensor having nonlinear response
US8208543B2 (en) 2008-05-19 2012-06-26 Microsoft Corporation Quantization and differential coding of alpha image data
JP2011523538A (en) 2008-05-20 2011-08-11 ペリカン イメージング コーポレイション Image capture and processing using monolithic camera arrays with different types of imagers
US8442355B2 (en) 2008-05-23 2013-05-14 Samsung Electronics Co., Ltd. System and method for generating a multi-dimensional image
US8125559B2 (en) 2008-05-25 2012-02-28 Avistar Communications Corporation Image formation for large photosensor array surfaces
US8131097B2 (en) 2008-05-28 2012-03-06 Aptina Imaging Corporation Method and apparatus for extended depth-of-field image restoration
US8244058B1 (en) 2008-05-30 2012-08-14 Adobe Systems Incorporated Method and apparatus for managing artifacts in frequency domain processing of light-field images
JP2009300268A (en) 2008-06-13 2009-12-24 Nippon Hoso Kyokai <Nhk> Three-dimensional information detection device
KR20100002032A (en) 2008-06-24 2010-01-06 삼성전자주식회사 Image generating method, image processing method, and apparatus thereof
JPWO2009157273A1 (en) 2008-06-25 2011-12-08 コニカミノルタオプト株式会社 Imaging optical system and manufacturing method of imaging lens
US7710667B2 (en) 2008-06-25 2010-05-04 Aptina Imaging Corp. Imaging module with symmetrical lens system and method of manufacture
KR101000531B1 (en) 2008-06-26 2010-12-14 에스디씨마이크로 주식회사 CCTV Management System Supporting Extended Data Transmission Coverage with Wireless LAN
US7916396B2 (en) 2008-06-27 2011-03-29 Micron Technology, Inc. Lens master devices, lens structures, imaging devices, and methods and apparatuses of making the same
US8326069B2 (en) 2008-06-30 2012-12-04 Intel Corporation Computing higher resolution images from multiple lower resolution images
US7773317B2 (en) 2008-07-01 2010-08-10 Aptina Imaging Corp. Lens system with symmetrical optics
US7920339B2 (en) 2008-07-02 2011-04-05 Aptina Imaging Corporation Method and apparatus providing singlet wafer lens system with field flattener
US8456517B2 (en) 2008-07-09 2013-06-04 Primesense Ltd. Integrated processor for 3D mapping
KR101445185B1 (en) 2008-07-10 2014-09-30 삼성전자주식회사 Flexible Image Photographing Apparatus with a plurality of image forming units and Method for manufacturing the same
CN102112845B (en) 2008-08-06 2013-09-11 形创有限公司 System for adaptive three-dimensional scanning of surface characteristics
EP2329653B1 (en) 2008-08-20 2014-10-29 Thomson Licensing Refined depth map
CN101656259A (en) 2008-08-20 2010-02-24 鸿富锦精密工业(深圳)有限公司 Image sensor packaging structure, packaging method and camera module
EP2329315A4 (en) 2008-09-01 2012-01-18 Lensvector Inc Wafer-level fabrication of liquid crystal optoelectronic devices
JP5105482B2 (en) 2008-09-01 2012-12-26 船井電機株式会社 Optical condition design method and compound eye imaging apparatus
US8098297B2 (en) 2008-09-03 2012-01-17 Sony Corporation Pre- and post-shutter signal image capture and sort for digital camera
KR20100028344A (en) 2008-09-04 2010-03-12 삼성전자주식회사 Method and apparatus for editing image of portable terminal
JP5238429B2 (en) 2008-09-25 2013-07-17 株式会社東芝 Stereoscopic image capturing apparatus and stereoscopic image capturing system
US8553093B2 (en) 2008-09-30 2013-10-08 Sony Corporation Method and apparatus for super-resolution imaging using digital imaging devices
US9064476B2 (en) 2008-10-04 2015-06-23 Microsoft Technology Licensing, Llc Image super-resolution using gradient profile prior
US8310525B2 (en) 2008-10-07 2012-11-13 Seiko Epson Corporation One-touch projector alignment for 3D stereo display
US8355534B2 (en) 2008-10-15 2013-01-15 Spinella Ip Holdings, Inc. Digital processing method and system for determination of optical flow
JP2010096723A (en) 2008-10-20 2010-04-30 Funai Electric Co Ltd Device for deriving distance of object
US8436909B2 (en) 2008-10-21 2013-05-07 Stmicroelectronics S.R.L. Compound camera sensor and related method of processing digital images
US8913657B2 (en) 2008-10-27 2014-12-16 Lg Electronics Inc. Virtual view image synthesis method and apparatus
US8063975B2 (en) 2008-10-29 2011-11-22 Jabil Circuit, Inc. Positioning wafer lenses on electronic imagers
KR101502597B1 (en) 2008-11-13 2015-03-13 삼성전자주식회사 Wide depth of field 3d display apparatus and method
WO2010057081A1 (en) 2008-11-14 2010-05-20 The Scripps Research Institute Image analysis platform for identifying artifacts in samples and laboratory consumables
AU2008246243B2 (en) 2008-11-19 2011-12-22 Canon Kabushiki Kaisha DVC as generic file format for plenoptic camera
US8279325B2 (en) 2008-11-25 2012-10-02 Lytro, Inc. System and method for acquiring, editing, generating and outputting video data
US8289440B2 (en) 2008-12-08 2012-10-16 Lytro, Inc. Light field data acquisition devices, and methods of using and manufacturing same
US8013904B2 (en) 2008-12-09 2011-09-06 Seiko Epson Corporation View projection matrix based high performance low latency display pipeline
KR101200490B1 (en) 2008-12-10 2012-11-12 한국전자통신연구원 Apparatus and Method for Matching Image
US8149323B2 (en) 2008-12-18 2012-04-03 Qualcomm Incorporated System and method to autofocus assisted by autoexposure control
JP4631966B2 (en) 2008-12-22 2011-02-16 ソニー株式会社 Image processing apparatus, image processing method, and program
CN101770060B (en) 2008-12-27 2014-03-26 鸿富锦精密工业(深圳)有限公司 Camera module and assembly method thereof
US8405742B2 (en) 2008-12-30 2013-03-26 Massachusetts Institute Of Technology Processing images having different focus
US8259212B2 (en) 2009-01-05 2012-09-04 Applied Quantum Technologies, Inc. Multiscale optical system
EP2381418A4 (en) 2009-01-09 2014-11-12 Konica Minolta Holdings Inc Motion vector generation apparatus and motion vector generation method
US20100177411A1 (en) 2009-01-09 2010-07-15 Shashikant Hegde Wafer level lens replication on micro-electrical-mechanical systems
WO2010081010A2 (en) 2009-01-09 2010-07-15 New York University Methods, computer-accessible medium and systems for facilitating dark flash photography
US8315476B1 (en) 2009-01-20 2012-11-20 Adobe Systems Incorporated Super-resolution with the focused plenoptic camera
US8189089B1 (en) 2009-01-20 2012-05-29 Adobe Systems Incorporated Methods and apparatus for reducing plenoptic camera artifacts
US8300108B2 (en) 2009-02-02 2012-10-30 L-3 Communications Cincinnati Electronics Corporation Multi-channel imaging devices comprising unit cells
US20100194860A1 (en) 2009-02-03 2010-08-05 Bit Cauldron Corporation Method of stereoscopic 3d image capture using a mobile device, cradle or dongle
US8290301B2 (en) 2009-02-06 2012-10-16 Raytheon Company Optimized imaging system for collection of high resolution imagery
US8761491B2 (en) 2009-02-06 2014-06-24 Himax Technologies Limited Stereo-matching processor using belief propagation
KR101776955B1 (en) 2009-02-10 2017-09-08 소니 주식회사 Solid-state imaging device, method of manufacturing the same, and electronic apparatus
WO2010095440A1 (en) 2009-02-20 2010-08-26 パナソニック株式会社 Recording medium, reproduction device, and integrated circuit
US8520970B2 (en) 2010-04-23 2013-08-27 Flir Systems Ab Infrared resolution and contrast enhancement with fusion
KR20100099896A (en) 2009-03-04 2010-09-15 삼성전자주식회사 Metadata generating method and apparatus, and image processing method and apparatus using the metadata
US8207759B2 (en) 2009-03-12 2012-06-26 Fairchild Semiconductor Corporation MIPI analog switch for automatic selection of multiple inputs based on clock voltages
WO2010108119A2 (en) 2009-03-19 2010-09-23 Flextronics Ap, Llc Dual sensor camera
US8450821B2 (en) 2009-03-26 2013-05-28 Micron Technology, Inc. Method and apparatus providing combined spacer and optical lens element
US8106949B2 (en) 2009-03-26 2012-01-31 Seiko Epson Corporation Small memory footprint light transport matrix capture
JP4529010B1 (en) 2009-03-30 2010-08-25 シャープ株式会社 Imaging device
JP5222205B2 (en) 2009-04-03 2013-06-26 Kddi株式会社 Image processing apparatus, method, and program
WO2010116367A1 (en) 2009-04-07 2010-10-14 Nextvision Stabilized Systems Ltd Continuous electronic zoom for an imaging system with multiple imaging devices having different fixed fov
US20100259610A1 (en) 2009-04-08 2010-10-14 Celsia, Llc Two-Dimensional Display Synced with Real World Object Movement
US8294099B2 (en) 2009-04-10 2012-10-23 Bae Systems Information And Electronic Systems Integration Inc. On-wafer butted microbolometer imaging array
JP5463718B2 (en) 2009-04-16 2014-04-09 ソニー株式会社 Imaging device
US8717417B2 (en) 2009-04-16 2014-05-06 Primesense Ltd. Three-dimensional mapping and imaging
US8908058B2 (en) 2009-04-18 2014-12-09 Lytro, Inc. Storage and transmission of pictures including multiple frames
US20120249550A1 (en) 2009-04-18 2012-10-04 Lytro, Inc. Selective Transmission of Image Data Based on Device Attributes
EP2244484B1 (en) 2009-04-22 2012-03-28 Raytrix GmbH Digital imaging method for synthesizing an image using data recorded with a plenoptic camera
CN101527046B (en) 2009-04-28 2012-09-05 青岛海信数字多媒体技术国家重点实验室有限公司 Motion detection method, device and system
KR101671021B1 (en) 2009-04-30 2016-11-10 삼성전자주식회사 Apparatus and method for transmitting stereoscopic image effectively
US8271544B2 (en) 2009-05-01 2012-09-18 Creative Technology Ltd Data file having more than one mode of operation
DE102009003110A1 (en) 2009-05-14 2010-11-18 Robert Bosch Gmbh Image processing method for determining depth information from at least two input images recorded by means of a stereo camera system
US8203633B2 (en) 2009-05-27 2012-06-19 Omnivision Technologies, Inc. Four-channel color filter array pattern
US8766808B2 (en) 2010-03-09 2014-07-01 Flir Systems, Inc. Imager with multiple sensor arrays
KR20100130423A (en) 2009-06-03 2010-12-13 삼성전자주식회사 Wafer-level lens module and image module including the same
CN101931742B (en) 2009-06-18 2013-04-24 鸿富锦精密工业(深圳)有限公司 Image sensing module and image capture module
US20100321640A1 (en) 2009-06-22 2010-12-23 Industrial Technology Research Institute Projection display chip
JP5254893B2 (en) 2009-06-26 2013-08-07 キヤノン株式会社 Image conversion method and apparatus, and pattern identification method and apparatus
WO2011008443A2 (en) 2009-06-29 2011-01-20 Lensvector Inc. Wafer level camera module with active optical element
JP2011030184A (en) 2009-07-01 2011-02-10 Sony Corp Image processing apparatus, and image processing method
US8212197B2 (en) 2009-07-02 2012-07-03 Xerox Corporation Image sensor with integration time compensation
JP2011017764A (en) 2009-07-07 2011-01-27 Konica Minolta Opto Inc Imaging lens, imaging apparatus and portable terminal
US8345144B1 (en) 2009-07-15 2013-01-01 Adobe Systems Incorporated Methods and apparatus for rich image capture with focused plenoptic cameras
US20110019243A1 (en) 2009-07-21 2011-01-27 Constant Jr Henry J Stereoscopic form reader
CN101964866B (en) 2009-07-24 2013-03-20 鸿富锦精密工业(深圳)有限公司 Computation and image pickup type digital camera
GB0912970D0 (en) 2009-07-27 2009-09-02 St Microelectronics Res & Dev Improvements in or relating to a sensor and sensor system for a camera
US8436893B2 (en) 2009-07-31 2013-05-07 3Dmedia Corporation Methods, systems, and computer-readable storage media for selecting image capture positions to generate three-dimensional (3D) images
US8577183B2 (en) 2009-08-05 2013-11-05 Raytheon Company Resolution on demand
WO2011018678A1 (en) 2009-08-11 2011-02-17 Ether Precision, Inc. Method and device for aligning a lens with an optical system
WO2011017806A1 (en) 2009-08-14 2011-02-17 Genesis Group Inc. Real-time image and video matting
JP2011044801A (en) 2009-08-19 2011-03-03 Toshiba Corp Image processor
US8154632B2 (en) 2009-08-24 2012-04-10 Lifesize Communications, Inc. Detection of defective pixels in an image sensor
KR101680300B1 (en) 2009-08-31 2016-11-28 삼성전자주식회사 Liquid lens and method for manufacturing the same
US9274699B2 (en) 2009-09-03 2016-03-01 Obscura Digital User interface for a large scale multi-user, multi-touch system
US8411146B2 (en) 2009-09-04 2013-04-02 Lockheed Martin Corporation Single camera color and infrared polarimetric imaging
FR2950153B1 (en) 2009-09-15 2011-12-23 Commissariat Energie Atomique OPTICAL DEVICE WITH DEFORMABLE MEMBRANE WITH PIEZOELECTRIC ACTUATION
US20140076336A1 (en) 2009-09-17 2014-03-20 Ascentia Health, Inc. Ear insert for relief of tmj discomfort and headaches
US8754941B1 (en) 2009-09-22 2014-06-17 Altia Systems, Inc. Multi-imager video camera with frame-by-frame view switching
BR112012007115A2 (en) 2009-10-02 2020-02-27 Koninklijke Philips Electronics N.V. METHOD OF ENCODING A 3D VIDEO DATA SIGNAL, METHOD OF DECODING A 3D VIDEO SIGNAL, ENCODER FOR ENCODING A 3D VIDEO DATA SIGNAL, DECODER FOR DECODING A 3D VIDEO DATA SIGNAL, COMPUTER PROGRAM PRODUCT FOR PRODUCT ENCODE A VIDEO DATA SIGNAL, COMPUTER PROGRAM PRODUCT TO DECODE A VIDEO SIGNAL, 3D VIDEO DATA SIGNAL, AND DIGITAL DATA HOLDER
US8199165B2 (en) 2009-10-14 2012-06-12 Hewlett-Packard Development Company, L.P. Methods and systems for object segmentation in digital images
DE102009049387B4 (en) 2009-10-14 2016-05-25 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Apparatus, image processing apparatus and method for optical imaging
BR112012008988B1 (en) 2009-10-14 2022-07-12 Dolby International Ab METHOD, NON-TRANSITORY LEGIBLE MEDIUM AND DEPTH MAP PROCESSING APPARATUS
US8502909B2 (en) 2009-10-19 2013-08-06 Pixar Super light-field lens
WO2011056574A1 (en) 2009-10-26 2011-05-12 Olaf Andrew Hall-Holt Dental imaging system and method
US8546737B2 (en) 2009-10-30 2013-10-01 Invisage Technologies, Inc. Systems and methods for color binning
CN102576154A (en) 2009-10-30 2012-07-11 惠普发展公司,有限责任合伙企业 Stereo display systems
WO2011055655A1 (en) 2009-11-05 2011-05-12 コニカミノルタオプト株式会社 Image pickup device, optical unit, wafer lens laminated body, and method for manufacturing wafer lens laminated body
CN102597693B (en) 2009-11-13 2015-04-01 富士胶片株式会社 Distance measuring device, distance measuring method, distance measuring program, distance measuring system, and image capturing device
US8643701B2 (en) 2009-11-18 2014-02-04 University Of Illinois At Urbana-Champaign System for executing 3D propagation for depth image-based rendering
JP5399215B2 (en) 2009-11-18 2014-01-29 シャープ株式会社 Multi-lens camera device and electronic information device
WO2011063347A2 (en) 2009-11-20 2011-05-26 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with heterogeneous imagers
US8497934B2 (en) 2009-11-25 2013-07-30 Massachusetts Institute Of Technology Actively addressable aperture light field camera
KR101608970B1 (en) 2009-11-27 2016-04-05 삼성전자주식회사 Apparatus and method for processing image using light field data
US8730338B2 (en) 2009-12-01 2014-05-20 Nokia Corporation Set of camera modules hinged on a body and functionally connected to a single actuator
US8400555B1 (en) 2009-12-01 2013-03-19 Adobe Systems Incorporated Focused plenoptic camera employing microlenses with different focal lengths
JP5446797B2 (en) 2009-12-04 2014-03-19 株式会社リコー Imaging device
US8446492B2 (en) 2009-12-10 2013-05-21 Honda Motor Co., Ltd. Image capturing device, method of searching for occlusion region, and program
JP5387377B2 (en) 2009-12-14 2014-01-15 ソニー株式会社 Image processing apparatus, image processing method, and program
US9030530B2 (en) 2009-12-15 2015-05-12 Thomson Licensing Stereo-image quality and disparity/depth indications
US20110153248A1 (en) 2009-12-23 2011-06-23 Yeming Gu Ophthalmic quality metric system
US8885067B2 (en) 2009-12-24 2014-11-11 Sharp Kabushiki Kaisha Multocular image pickup apparatus and multocular image pickup method
JP4983905B2 (en) 2009-12-25 2012-07-25 カシオ計算機株式会社 Imaging apparatus, 3D modeling data generation method, and program
KR101643607B1 (en) 2009-12-30 2016-08-10 삼성전자주식회사 Method and apparatus for generating of image data
CN102117576A (en) 2009-12-31 2011-07-06 鸿富锦精密工业(深圳)有限公司 Digital photo frame
CN102118551A (en) 2009-12-31 2011-07-06 鸿富锦精密工业(深圳)有限公司 Imaging device
CN102131044B (en) 2010-01-20 2014-03-26 鸿富锦精密工业(深圳)有限公司 Camera module
US8649008B2 (en) 2010-02-04 2014-02-11 University Of Southern California Combined spectral and polarimetry imaging and diagnostics
US8593512B2 (en) 2010-02-05 2013-11-26 Creative Technology Ltd Device and method for scanning an object on a working surface
US8326142B2 (en) 2010-02-12 2012-12-04 Sri International Optical image systems
JP5387856B2 (en) 2010-02-16 2014-01-15 ソニー株式会社 Image processing apparatus, image processing method, image processing program, and imaging apparatus
US8648918B2 (en) 2010-02-18 2014-02-11 Sony Corporation Method and system for obtaining a point spread function using motion information
CN103210641B (en) 2010-02-19 2017-03-15 双光圈国际株式会社 Process multi-perture image data
WO2011105814A2 (en) 2010-02-23 2011-09-01 삼성전자 주식회사 Method and apparatus for providing a multi-view still image service, and method and apparatus for receiving a multi-view still image service
KR101802238B1 (en) 2010-02-23 2017-11-29 삼성전자주식회사 Apparatus and method for generating a three-dimension image data in portable terminal
JP2013521576A (en) 2010-02-28 2013-06-10 オスターハウト グループ インコーポレイテッド Local advertising content on interactive head-mounted eyepieces
US8817015B2 (en) 2010-03-03 2014-08-26 Adobe Systems Incorporated Methods, apparatus, and computer-readable storage media for depth-based rendering of focused plenoptic camera data
US20110222757A1 (en) 2010-03-10 2011-09-15 Gbo 3D Technology Pte. Ltd. Systems and methods for 2D image and spatial data capture for 3D stereo imaging
US20110221950A1 (en) 2010-03-12 2011-09-15 Doeke Jolt Oostra Camera device, wafer scale package
EP2548071A1 (en) 2010-03-17 2013-01-23 Pelican Imaging Corporation Fabrication process for mastering imaging lens arrays
JP5679978B2 (en) 2010-03-19 2015-03-04 パナソニックIpマネジメント株式会社 Stereoscopic image alignment apparatus, stereoscopic image alignment method, and program thereof
CN102282857B (en) 2010-03-19 2014-03-12 富士胶片株式会社 Imaging device and method
WO2011116345A1 (en) 2010-03-19 2011-09-22 Invisage Technologies, Inc. Dark current reduction in image sensors via dynamic electrical biasing
US8285033B2 (en) 2010-04-01 2012-10-09 Seiko Epson Corporation Bi-affinity filter: a bilateral type filter for color images
US20110242342A1 (en) 2010-04-05 2011-10-06 Qualcomm Incorporated Combining data from multiple image sensors
US8896668B2 (en) 2010-04-05 2014-11-25 Qualcomm Incorporated Combining data from multiple image sensors
US8600186B2 (en) 2010-04-26 2013-12-03 City University Of Hong Kong Well focused catadioptric image acquisition
US9053573B2 (en) 2010-04-29 2015-06-09 Personify, Inc. Systems and methods for generating a virtual camera viewpoint for an image
US20110267264A1 (en) 2010-04-29 2011-11-03 Mccarthy John Display system with multiple optical sensors
US20130250150A1 (en) 2010-05-03 2013-09-26 Michael R. Malone Devices and methods for high-resolution image and video capture
US9256974B1 (en) 2010-05-04 2016-02-09 Stephen P Hines 3-D motion-parallax portable display software application
US8885890B2 (en) 2010-05-07 2014-11-11 Microsoft Corporation Depth map confidence filtering
KR101756910B1 (en) 2010-05-11 2017-07-26 삼성전자주식회사 Apparatus and method for processing light field data using mask with attenuation pattern
JP5545016B2 (en) 2010-05-12 2014-07-09 ソニー株式会社 Imaging device
KR101824672B1 (en) 2010-05-12 2018-02-05 포토네이션 케이맨 리미티드 Architectures for imager arrays and array cameras
US20130147979A1 (en) 2010-05-12 2013-06-13 Pelican Imaging Corporation Systems and methods for extending dynamic range of imager arrays by controlling pixel analog gain
WO2011142774A1 (en) 2010-05-14 2011-11-17 Omnivision Technologies, Inc. Alternative color image array and associated methods
US8576293B2 (en) 2010-05-18 2013-11-05 Aptina Imaging Corporation Multi-channel imager
US20120062697A1 (en) 2010-06-09 2012-03-15 Chemimage Corporation Hyperspectral imaging sensor for tracking moving targets
US20110310980A1 (en) 2010-06-22 2011-12-22 Qualcomm Mems Technologies, Inc. Apparatus and methods for processing frames of video data across a display interface using a block-based encoding scheme and a tag id
KR20120000485A (en) 2010-06-25 2012-01-02 삼성전자주식회사 Apparatus and method for depth coding using prediction mode
US8493432B2 (en) 2010-06-29 2013-07-23 Mitsubishi Electric Research Laboratories, Inc. Digital refocusing for wide-angle images using axial-cone cameras
EP2403234A1 (en) 2010-06-29 2012-01-04 Koninklijke Philips Electronics N.V. Method and system for constructing a compound image from data obtained by an array of image capturing devices
CN101883291B (en) 2010-06-29 2012-12-19 上海大学 Method for drawing viewpoints by reinforcing interested region
US9406132B2 (en) 2010-07-16 2016-08-02 Qualcomm Incorporated Vision-based quality metric for three dimensional video
GB2482022A (en) 2010-07-16 2012-01-18 St Microelectronics Res & Dev Method for measuring resolution and aberration of lens and sensor
US8386964B2 (en) 2010-07-21 2013-02-26 Microsoft Corporation Interactive image matting
US20120019700A1 (en) 2010-07-26 2012-01-26 American Technologies Network Corporation Optical system with automatic mixing of daylight and thermal vision digital video signals
US20120026342A1 (en) 2010-07-27 2012-02-02 Xiaoguang Yu Electronic system communicating with image sensor
US20120026451A1 (en) 2010-07-29 2012-02-02 Lensvector Inc. Tunable liquid crystal lens with single sided contacts
CN102375199B (en) 2010-08-11 2015-06-03 鸿富锦精密工业(深圳)有限公司 Camera module
US8428342B2 (en) 2010-08-12 2013-04-23 At&T Intellectual Property I, L.P. Apparatus and method for providing three dimensional media content
US8836793B1 (en) 2010-08-13 2014-09-16 Opto-Knowledge Systems, Inc. True color night vision (TCNV) fusion
US8493482B2 (en) 2010-08-18 2013-07-23 Apple Inc. Dual image sensor image processing system and method
US8724000B2 (en) 2010-08-27 2014-05-13 Adobe Systems Incorporated Methods and apparatus for super-resolution in integral photography
US8749694B2 (en) 2010-08-27 2014-06-10 Adobe Systems Incorporated Methods and apparatus for rendering focused plenoptic camera data using super-resolved demosaicing
US8665341B2 (en) 2010-08-27 2014-03-04 Adobe Systems Incorporated Methods and apparatus for rendering output images with simulated artistic effects from focused plenoptic camera data
GB2483434A (en) 2010-08-31 2012-03-14 Sony Corp Detecting stereoscopic disparity by comparison with subset of pixel change points
US20120056982A1 (en) 2010-09-08 2012-03-08 Microsoft Corporation Depth camera based on structured light and stereo vision
US9013550B2 (en) 2010-09-09 2015-04-21 Qualcomm Incorporated Online reference generation and tracking for multi-user augmented reality
US9013634B2 (en) 2010-09-14 2015-04-21 Adobe Systems Incorporated Methods and apparatus for video completion
CN103299619A (en) 2010-09-14 2013-09-11 汤姆逊许可公司 Compression methods and apparatus for occlusion data
US8780251B2 (en) 2010-09-20 2014-07-15 Canon Kabushiki Kaisha Image capture with focus adjustment
WO2012039043A1 (en) 2010-09-22 2012-03-29 富士通株式会社 Stereo image generating unit, method of generating stereo image, and stereo image generating computer program
US20120086803A1 (en) 2010-10-11 2012-04-12 Malzbender Thomas G Method and system for distance estimation using projected symbol sequences
US20140192238A1 (en) 2010-10-24 2014-07-10 Linx Computational Imaging Ltd. System and Method for Imaging and Image Processing
JP5657343B2 (en) 2010-10-28 2015-01-21 株式会社ザクティ Electronics
US9876953B2 (en) 2010-10-29 2018-01-23 Ecole Polytechnique Federale De Lausanne (Epfl) Omnidirectional sensor array system
US9137503B2 (en) 2010-11-03 2015-09-15 Sony Corporation Lens and color filter arrangement, super-resolution camera system and method
US9065991B2 (en) 2010-11-04 2015-06-23 Lensvector Inc. Methods of adjustment free manufacture of focus free camera modules
US20120113232A1 (en) 2010-11-10 2012-05-10 Sony Pictures Technologies Inc. Multiple camera system and method for selectable interaxial separation
MY150361A (en) 2010-12-03 2013-12-31 Mimos Berhad Method of image segmentation using intensity and depth information
WO2012078126A1 (en) 2010-12-08 2012-06-14 Thomson Licensing System and method for trinocular depth acquisition with triangular sensor
US8878950B2 (en) 2010-12-14 2014-11-04 Pelican Imaging Corporation Systems and methods for synthesizing high resolution images using super-resolution processes
JP5963422B2 (en) 2010-12-17 2016-08-03 キヤノン株式会社 Imaging apparatus, display apparatus, computer program, and stereoscopic image display system
US9177381B2 (en) 2010-12-22 2015-11-03 Nani Holdings IP, LLC Depth estimate determination, systems and methods
US8682107B2 (en) 2010-12-22 2014-03-25 Electronics And Telecommunications Research Institute Apparatus and method for creating 3D content for oriental painting
US8565709B2 (en) 2010-12-30 2013-10-22 Apple Inc. Digital signal filter
JP5699609B2 (en) 2011-01-06 2015-04-15 ソニー株式会社 Image processing apparatus and image processing method
EP2666048A4 (en) 2011-01-20 2014-06-04 Fivefocal Llc Passively athermalized infrared imaging system and methods of manufacturing same
US8717467B2 (en) 2011-01-25 2014-05-06 Aptina Imaging Corporation Imaging systems with array cameras for depth sensing
US8581995B2 (en) 2011-01-25 2013-11-12 Aptina Imaging Corporation Method and apparatus for parallax correction in fused array imaging systems
JP5594477B2 (en) 2011-01-26 2014-09-24 Nltテクノロジー株式会社 Image display device, image display method, and program
EP2668617A1 (en) 2011-01-27 2013-12-04 Metaio GmbH Method for determining correspondences between a first and a second image, and method for determining the pose of a camera
CA2767023C (en) 2011-02-09 2014-09-09 Research In Motion Limited Increased low light sensitivity for image sensors by combining quantum dot sensitivity to visible and infrared light
US20120200726A1 (en) 2011-02-09 2012-08-09 Research In Motion Limited Method of Controlling the Depth of Field for a Small Sensor Camera Using an Extension for EDOF
US8698885B2 (en) 2011-02-14 2014-04-15 Intuitive Surgical Operations, Inc. Methods and apparatus for demosaicing images with highly correlated color channels
US20140176592A1 (en) 2011-02-15 2014-06-26 Lytro, Inc. Configuring two-dimensional image processing based on light-field parameters
WO2012117583A1 (en) 2011-02-28 2012-09-07 富士フイルム株式会社 Color imaging device
US8406548B2 (en) 2011-02-28 2013-03-26 Sony Corporation Method and apparatus for performing a blur rendering process on an image
US8537245B2 (en) 2011-03-04 2013-09-17 Hand Held Products, Inc. Imaging and decoding device with quantum dot imager
CA2769358C (en) 2011-03-08 2016-06-07 Research In Motion Limited Quantum dot image sensor with dummy pixels used for intensity calculations
US9565449B2 (en) 2011-03-10 2017-02-07 Qualcomm Incorporated Coding multiview video plus depth content
KR101792501B1 (en) 2011-03-16 2017-11-21 한국전자통신연구원 Method and apparatus for feature-based stereo matching
US20120249853A1 (en) 2011-03-28 2012-10-04 Marc Krolczyk Digital camera for reviewing related images
US8824821B2 (en) 2011-03-28 2014-09-02 Sony Corporation Method and apparatus for performing user inspired visual effects rendering on an image
US9030528B2 (en) 2011-04-04 2015-05-12 Apple Inc. Multi-zone imaging sensor and lens array
FR2974449A1 (en) 2011-04-22 2012-10-26 Commissariat Energie Atomique IMAGEUR INTEGRATED CIRCUIT AND STEREOSCOPIC IMAGE CAPTURE DEVICE
US20120274626A1 (en) 2011-04-29 2012-11-01 Himax Media Solutions, Inc. Stereoscopic Image Generating Apparatus and Method
US8843346B2 (en) 2011-05-13 2014-09-23 Amazon Technologies, Inc. Using spatial information with device interaction
US8629901B2 (en) 2011-05-19 2014-01-14 National Taiwan University System and method of revising depth of a 3D image pair
US20120293489A1 (en) 2011-05-20 2012-11-22 Himax Technologies Limited Nonlinear depth remapping system and method thereof
JP5797016B2 (en) 2011-05-30 2015-10-21 キヤノン株式会社 Image processing apparatus, image processing method, and program
JP5762142B2 (en) 2011-05-31 2015-08-12 キヤノン株式会社 Imaging apparatus, image processing apparatus and method thereof
KR101824290B1 (en) 2011-06-15 2018-01-31 마이크로소프트 테크놀로지 라이센싱, 엘엘씨 High resolution multispectral image capture
JP2013005259A (en) 2011-06-17 2013-01-07 Sony Corp Image processing apparatus, image processing method, and program
US20130265459A1 (en) 2011-06-28 2013-10-10 Pelican Imaging Corporation Optical arrangements for use with an array camera
WO2013003276A1 (en) 2011-06-28 2013-01-03 Pelican Imaging Corporation Optical arrangements for use with an array camera
US8773513B2 (en) 2011-07-01 2014-07-08 Seiko Epson Corporation Context and epsilon stereo constrained correspondence matching
US9300946B2 (en) 2011-07-08 2016-03-29 Personify, Inc. System and method for generating a depth map and fusing images from a camera array
JP5780865B2 (en) 2011-07-14 2015-09-16 キヤノン株式会社 Image processing apparatus, imaging system, and image processing system
US9363535B2 (en) 2011-07-22 2016-06-07 Qualcomm Incorporated Coding motion depth maps with depth range variation
US9264689B2 (en) 2011-08-04 2016-02-16 Semiconductor Components Industries, Llc Systems and methods for color compensation in multi-view video
TWI561066B (en) 2011-08-09 2016-12-01 Samsung Electronics Co Ltd Method and apparatus for encoding and decoding depth map of multi-view video data
US8432435B2 (en) 2011-08-10 2013-04-30 Seiko Epson Corporation Ray image modeling for fast catadioptric light field rendering
US8866951B2 (en) 2011-08-24 2014-10-21 Aptina Imaging Corporation Super-resolution imaging systems
US8704895B2 (en) 2011-08-29 2014-04-22 Qualcomm Incorporated Fast calibration of displays using spectral-based colorimetrically calibrated multicolor camera
US20130070060A1 (en) 2011-09-19 2013-03-21 Pelican Imaging Corporation Systems and methods for determining depth from multiple views of a scene that include aliasing using hypothesized fusion
JP5879549B2 (en) 2011-09-20 2016-03-08 パナソニックIpマネジメント株式会社 Light field imaging apparatus and image processing apparatus
JP5544047B2 (en) 2011-09-21 2014-07-09 富士フイルム株式会社 Image processing apparatus, method and program, stereoscopic imaging apparatus, portable electronic device, printer, and stereoscopic image reproducing apparatus
US8724893B2 (en) 2011-09-27 2014-05-13 Thomson Licensing Method and system for color look up table generation
WO2013049699A1 (en) 2011-09-28 2013-04-04 Pelican Imaging Corporation Systems and methods for encoding and decoding light field image files
US8908083B2 (en) 2011-09-28 2014-12-09 Apple Inc. Dynamic autofocus operations
JP5831105B2 (en) 2011-09-30 2015-12-09 ソニー株式会社 Imaging apparatus and imaging method
CN104185808A (en) 2011-10-11 2014-12-03 派力肯影像公司 Lens stack arrays including adaptive optical elements
EP2582128A3 (en) 2011-10-12 2013-06-19 Canon Kabushiki Kaisha Image-capturing device
US20130107061A1 (en) 2011-10-31 2013-05-02 Ankit Kumar Multi-resolution ip camera
US9692991B2 (en) 2011-11-04 2017-06-27 Qualcomm Incorporated Multispectral imaging system
JP5149435B1 (en) 2011-11-04 2013-02-20 株式会社東芝 Video processing apparatus and video processing method
EP2590138B1 (en) 2011-11-07 2019-09-11 Flir Systems AB Gas visualization arrangements, devices, and methods
WO2013072875A2 (en) 2011-11-15 2013-05-23 Technion Research & Development Foundation Ltd. Method and system for transmitting light
US20130121559A1 (en) 2011-11-16 2013-05-16 Sharp Laboratories Of America, Inc. Mobile device with three dimensional augmented reality
US9661310B2 (en) 2011-11-28 2017-05-23 ArcSoft Hanzhou Co., Ltd. Image depth recovering method and stereo image fetching device thereof
WO2013119706A1 (en) 2012-02-06 2013-08-15 Pelican Imaging Corporation Systems and methods for extending dynamic range of imager arrays by controlling pixel analog gain
US9172889B2 (en) * 2012-02-09 2015-10-27 Semiconductor Components Industries, Llc Imaging systems and methods for generating auto-exposed high-dynamic-range images
US9412206B2 (en) 2012-02-21 2016-08-09 Pelican Imaging Corporation Systems and methods for the manipulation of captured light field image data
JP5860304B2 (en) * 2012-02-23 2016-02-16 キヤノン株式会社 Imaging apparatus, control method therefor, program, and storage medium
JP6112824B2 (en) 2012-02-28 2017-04-12 キヤノン株式会社 Image processing method and apparatus, and program.
EP2637139A1 (en) 2012-03-05 2013-09-11 Thomson Licensing Method and apparatus for bi-layer segmentation
WO2013155403A1 (en) 2012-04-13 2013-10-17 Automation Engineering, Inc. Active alignment using continuous motion sweeps and temporal interpolation
CN104582622B (en) 2012-04-16 2017-10-13 儿童国家医疗中心 For the tracking in surgery and intervention medical procedure and the bimodulus stereo imaging system of control
US9210392B2 (en) 2012-05-01 2015-12-08 Pelican Imaging Coporation Camera modules patterned with pi filter groups
WO2013169671A1 (en) 2012-05-09 2013-11-14 Lytro, Inc. Optimization of optical systems for improved light field capture and manipulation
JP5929553B2 (en) 2012-06-28 2016-06-08 ソニー株式会社 Image processing apparatus, imaging apparatus, image processing method, and program
US9100635B2 (en) 2012-06-28 2015-08-04 Pelican Imaging Corporation Systems and methods for detecting defective camera arrays and optic arrays
US20140002674A1 (en) 2012-06-30 2014-01-02 Pelican Imaging Corporation Systems and Methods for Manufacturing Camera Modules Using Active Alignment of Lens Stack Arrays and Sensors
US8896594B2 (en) 2012-06-30 2014-11-25 Microsoft Corporation Depth sensing with depth-adaptive illumination
US9147251B2 (en) 2012-08-03 2015-09-29 Flyby Media, Inc. Systems and methods for efficient 3D tracking of weakly textured planar surfaces for augmented reality applications
US8988566B2 (en) 2012-08-09 2015-03-24 Omnivision Technologies, Inc. Lens array for partitioned image sensor having color filters
CN104662589B (en) 2012-08-21 2017-08-04 派力肯影像公司 For the parallax detection in the image using array camera seizure and the system and method for correction
US20140055632A1 (en) 2012-08-23 2014-02-27 Pelican Imaging Corporation Feature based high resolution motion estimation from low resolution images captured using an array source
WO2014034444A1 (en) 2012-08-31 2014-03-06 ソニー株式会社 Image processing device, image processing method, and information processing device
US9214013B2 (en) 2012-09-14 2015-12-15 Pelican Imaging Corporation Systems and methods for correcting user identified artifacts in light field images
US9143673B2 (en) 2012-09-19 2015-09-22 Google Inc. Imaging device with a plurality of pixel arrays
CN104685860A (en) 2012-09-28 2015-06-03 派力肯影像公司 Generating images from light fields utilizing virtual viewpoints
TW201415879A (en) 2012-10-12 2014-04-16 Wintek Corp Image capture device
WO2014070927A2 (en) 2012-10-31 2014-05-08 Invisage Technologies, Inc. Expanded-field-of-view image and video capture
US9143711B2 (en) 2012-11-13 2015-09-22 Pelican Imaging Corporation Systems and methods for array camera focal plane control
CN113472989A (en) 2012-11-28 2021-10-01 核心光电有限公司 Multi-aperture imaging system and method for acquiring images by multi-aperture imaging system
US9001226B1 (en) 2012-12-04 2015-04-07 Lytro, Inc. Capturing and relighting images using multiple devices
US9088369B2 (en) 2012-12-28 2015-07-21 Synergy Microwave Corporation Self injection locked phase locked looped optoelectronic oscillator
US20140183334A1 (en) 2013-01-03 2014-07-03 Visera Technologies Company Limited Image sensor for light field device and manufacturing method thereof
US9547160B2 (en) 2013-01-05 2017-01-17 Light Labs Inc. Methods and apparatus for capturing and/or processing images
KR20140094395A (en) 2013-01-22 2014-07-30 삼성전자주식회사 photographing device for taking a picture by a plurality of microlenses and method thereof
US9497380B1 (en) 2013-02-15 2016-11-15 Red.Com, Inc. Dense field imaging
WO2014130849A1 (en) 2013-02-21 2014-08-28 Pelican Imaging Corporation Generating compressed light field representation data
US9374512B2 (en) 2013-02-24 2016-06-21 Pelican Imaging Corporation Thin form factor computational array cameras and modular array cameras
US20150002734A1 (en) 2013-07-01 2015-01-01 Motorola Mobility Llc Electronic Device with Modulated Light Flash Operation for Rolling Shutter Image Sensor
US9638883B1 (en) 2013-03-04 2017-05-02 Fotonation Cayman Limited Passive alignment of array camera modules constructed from lens stack arrays and sensors based upon alignment information obtained during manufacture of array camera modules using an active alignment process
US9774789B2 (en) 2013-03-08 2017-09-26 Fotonation Cayman Limited Systems and methods for high dynamic range imaging using array cameras
US8866912B2 (en) 2013-03-10 2014-10-21 Pelican Imaging Corporation System and methods for calibration of an array camera using a single captured image
US9521416B1 (en) 2013-03-11 2016-12-13 Kip Peli P1 Lp Systems and methods for image data compression
WO2014164909A1 (en) 2013-03-13 2014-10-09 Pelican Imaging Corporation Array camera architecture implementing quantum film sensors
WO2014160142A1 (en) 2013-03-13 2014-10-02 Pelican Imaging Corporation Systems and methods for using alignment to increase sampling diversity of cameras in an array camera module
US9106784B2 (en) 2013-03-13 2015-08-11 Pelican Imaging Corporation Systems and methods for controlling aliasing in images captured by an array camera for use in super-resolution processing
WO2014164550A2 (en) 2013-03-13 2014-10-09 Pelican Imaging Corporation System and methods for calibration of an array camera
US9519972B2 (en) 2013-03-13 2016-12-13 Kip Peli P1 Lp Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies
US9578259B2 (en) 2013-03-14 2017-02-21 Fotonation Cayman Limited Systems and methods for reducing motion blur in images or video in ultra low light with array cameras
WO2014149902A1 (en) 2013-03-15 2014-09-25 Pelican Imaging Corporation Systems and methods for providing an array projector
WO2014145856A1 (en) 2013-03-15 2014-09-18 Pelican Imaging Corporation Systems and methods for stereo imaging with camera arrays
US9497429B2 (en) 2013-03-15 2016-11-15 Pelican Imaging Corporation Extended color processing on pelican array cameras
US9445003B1 (en) 2013-03-15 2016-09-13 Pelican Imaging Corporation Systems and methods for synthesizing high resolution images using image deconvolution based on motion and depth information
WO2014144157A1 (en) 2013-03-15 2014-09-18 Pelican Imaging Corporation Optical arrangements for use with an array camera
WO2014150856A1 (en) 2013-03-15 2014-09-25 Pelican Imaging Corporation Array camera implementing quantum dot color filters
WO2015048694A2 (en) 2013-09-27 2015-04-02 Pelican Imaging Corporation Systems and methods for depth-assisted perspective distortion correction
US20150098079A1 (en) 2013-10-09 2015-04-09 Hilti Aktiengesellschaft System and method for camera based position and orientation measurement
US20150104101A1 (en) 2013-10-14 2015-04-16 Apple Inc. Method and ui for z depth image segmentation
EP3066690A4 (en) 2013-11-07 2017-04-05 Pelican Imaging Corporation Methods of manufacturing array camera modules incorporating independently aligned lens stacks
US10119808B2 (en) 2013-11-18 2018-11-06 Fotonation Limited Systems and methods for estimating depth from projected texture using camera arrays
US9426361B2 (en) 2013-11-26 2016-08-23 Pelican Imaging Corporation Array camera configurations incorporating multiple constituent array cameras
KR102317607B1 (en) 2013-11-27 2021-10-25 아이에프피 에너지스 누벨 Process for the production of carbon black from at least one fcc slurry cut, comprising a specific hydrotreatment
US9979878B2 (en) 2014-02-21 2018-05-22 Light Labs Inc. Intuitive camera user interface methods and apparatus
JP6211435B2 (en) 2014-02-26 2017-10-11 株式会社アドバンテスト Manufacturing method of semiconductor device
US9521319B2 (en) 2014-06-18 2016-12-13 Pelican Imaging Corporation Array cameras and array camera modules including spectral filters disposed outside of a constituent image sensor

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090274387A1 (en) * 2008-05-05 2009-11-05 Micron Technology, Inc. Method of capturing high dynamic range images with objects in the scene
US20110080487A1 (en) * 2008-05-20 2011-04-07 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with heterogeneous imagers
US20110300929A1 (en) * 2010-06-03 2011-12-08 Microsoft Corporation Synthesis of information from multiple audiovisual sources
US20120287291A1 (en) * 2011-05-11 2012-11-15 Pelican Imaging Corporation Systems and methods for transmitting and receiving array camera image data

Cited By (162)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9055213B2 (en) 2008-05-20 2015-06-09 Pelican Imaging Corporation Systems and methods for measuring depth using images captured by monolithic camera arrays including at least one bayer camera
US8896719B1 (en) 2008-05-20 2014-11-25 Pelican Imaging Corporation Systems and methods for parallax measurement using camera arrays incorporating 3 x 3 camera configurations
US9060142B2 (en) 2008-05-20 2015-06-16 Pelican Imaging Corporation Capturing and processing of images captured by camera arrays including heterogeneous optics
US9712759B2 (en) 2008-05-20 2017-07-18 Fotonation Cayman Limited Systems and methods for generating depth maps using a camera arrays incorporating monochrome and color cameras
US9188765B2 (en) 2008-05-20 2015-11-17 Pelican Imaging Corporation Capturing and processing of images including occlusions focused on an image sensor by a lens stack array
US9576369B2 (en) 2008-05-20 2017-02-21 Fotonation Cayman Limited Systems and methods for generating depth maps using images captured by camera arrays incorporating cameras having different fields of view
US10027901B2 (en) 2008-05-20 2018-07-17 Fotonation Cayman Limited Systems and methods for generating depth maps using a camera arrays incorporating monochrome and color cameras
US10142560B2 (en) 2008-05-20 2018-11-27 Fotonation Limited Capturing and processing of images including occlusions focused on an image sensor by a lens stack array
US9485496B2 (en) 2008-05-20 2016-11-01 Pelican Imaging Corporation Systems and methods for measuring depth using images captured by a camera array including cameras surrounding a central camera
US9191580B2 (en) 2008-05-20 2015-11-17 Pelican Imaging Corporation Capturing and processing of images including occlusions captured by camera arrays
US9049411B2 (en) 2008-05-20 2015-06-02 Pelican Imaging Corporation Camera arrays incorporating 3×3 imager configurations
US9049391B2 (en) 2008-05-20 2015-06-02 Pelican Imaging Corporation Capturing and processing of near-IR images including occlusions using camera arrays incorporating near-IR light sources
US11412158B2 (en) 2008-05-20 2022-08-09 Fotonation Limited Capturing and processing of images including occlusions focused on an image sensor by a lens stack array
US9055233B2 (en) 2008-05-20 2015-06-09 Pelican Imaging Corporation Systems and methods for synthesizing higher resolution images using a set of images containing a baseline image
US9124815B2 (en) 2008-05-20 2015-09-01 Pelican Imaging Corporation Capturing and processing of images including occlusions captured by arrays of luma and chroma cameras
US9749547B2 (en) 2008-05-20 2017-08-29 Fotonation Cayman Limited Capturing and processing of images using camera array incorperating Bayer cameras having different fields of view
US9060121B2 (en) 2008-05-20 2015-06-16 Pelican Imaging Corporation Capturing and processing of images captured by camera arrays including cameras dedicated to sampling luma and cameras dedicated to sampling chroma
US9077893B2 (en) 2008-05-20 2015-07-07 Pelican Imaging Corporation Capturing and processing of images captured by non-grid camera arrays
US9094661B2 (en) 2008-05-20 2015-07-28 Pelican Imaging Corporation Systems and methods for generating depth maps using a set of images containing a baseline image
US11792538B2 (en) 2008-05-20 2023-10-17 Adeia Imaging Llc Capturing and processing of images including occlusions focused on an image sensor by a lens stack array
US10306120B2 (en) 2009-11-20 2019-05-28 Fotonation Limited Capturing and processing of images captured by camera arrays incorporating cameras with telephoto and conventional lenses to generate depth maps
US9264610B2 (en) 2009-11-20 2016-02-16 Pelican Imaging Corporation Capturing and processing of images including occlusions captured by heterogeneous camera arrays
US10455168B2 (en) 2010-05-12 2019-10-22 Fotonation Limited Imager array interfaces
US9936148B2 (en) 2010-05-12 2018-04-03 Fotonation Cayman Limited Imager array interfaces
US11875475B2 (en) 2010-12-14 2024-01-16 Adeia Imaging Llc Systems and methods for synthesizing high resolution images using images captured by an array of independently controllable imagers
US10366472B2 (en) 2010-12-14 2019-07-30 Fotonation Limited Systems and methods for synthesizing high resolution images using images captured by an array of independently controllable imagers
US11423513B2 (en) 2010-12-14 2022-08-23 Fotonation Limited Systems and methods for synthesizing high resolution images using images captured by an array of independently controllable imagers
US9361662B2 (en) 2010-12-14 2016-06-07 Pelican Imaging Corporation Systems and methods for synthesizing high resolution images using images captured by an array of independently controllable imagers
US9047684B2 (en) 2010-12-14 2015-06-02 Pelican Imaging Corporation Systems and methods for synthesizing high resolution images using a set of geometrically registered images
US9041824B2 (en) 2010-12-14 2015-05-26 Pelican Imaging Corporation Systems and methods for dynamic refocusing of high resolution images generated using images captured by a plurality of imagers
US10218889B2 (en) 2011-05-11 2019-02-26 Fotonation Limited Systems and methods for transmitting and receiving array camera image data
US10742861B2 (en) 2011-05-11 2020-08-11 Fotonation Limited Systems and methods for transmitting and receiving array camera image data
US9866739B2 (en) 2011-05-11 2018-01-09 Fotonation Cayman Limited Systems and methods for transmitting and receiving array camera image data
US9578237B2 (en) 2011-06-28 2017-02-21 Fotonation Cayman Limited Array cameras incorporating optics with modulation transfer functions greater than sensor Nyquist frequency for capture of images used in super-resolution processing
US9516222B2 (en) 2011-06-28 2016-12-06 Kip Peli P1 Lp Array cameras incorporating monolithic array camera modules with high MTF lens stacks for capture of images used in super-resolution processing
US9794476B2 (en) 2011-09-19 2017-10-17 Fotonation Cayman Limited Systems and methods for controlling aliasing in images captured by an array camera for use in super resolution processing using pixel apertures
US10375302B2 (en) 2011-09-19 2019-08-06 Fotonation Limited Systems and methods for controlling aliasing in images captured by an array camera for use in super resolution processing using pixel apertures
US10019816B2 (en) 2011-09-28 2018-07-10 Fotonation Cayman Limited Systems and methods for decoding image files containing depth maps stored as metadata
US11729365B2 (en) 2011-09-28 2023-08-15 Adela Imaging LLC Systems and methods for encoding image files containing depth maps stored as metadata
US10984276B2 (en) 2011-09-28 2021-04-20 Fotonation Limited Systems and methods for encoding image files containing depth maps stored as metadata
US9811753B2 (en) 2011-09-28 2017-11-07 Fotonation Cayman Limited Systems and methods for encoding light field image files
US9536166B2 (en) 2011-09-28 2017-01-03 Kip Peli P1 Lp Systems and methods for decoding image files containing depth maps stored as metadata
US10430682B2 (en) 2011-09-28 2019-10-01 Fotonation Limited Systems and methods for decoding image files containing depth maps stored as metadata
US9031335B2 (en) 2011-09-28 2015-05-12 Pelican Imaging Corporation Systems and methods for encoding light field image files having depth and confidence maps
US9025894B2 (en) 2011-09-28 2015-05-05 Pelican Imaging Corporation Systems and methods for decoding light field image files having depth and confidence maps
US9025895B2 (en) 2011-09-28 2015-05-05 Pelican Imaging Corporation Systems and methods for decoding refocusable light field image files
US9036928B2 (en) 2011-09-28 2015-05-19 Pelican Imaging Corporation Systems and methods for encoding structured light field image files
US9864921B2 (en) 2011-09-28 2018-01-09 Fotonation Cayman Limited Systems and methods for encoding image files containing depth maps stored as metadata
US9036931B2 (en) 2011-09-28 2015-05-19 Pelican Imaging Corporation Systems and methods for decoding structured light field image files
US9129183B2 (en) 2011-09-28 2015-09-08 Pelican Imaging Corporation Systems and methods for encoding light field image files
US9042667B2 (en) 2011-09-28 2015-05-26 Pelican Imaging Corporation Systems and methods for decoding light field image files using a depth map
US10275676B2 (en) 2011-09-28 2019-04-30 Fotonation Limited Systems and methods for encoding image files containing depth maps stored as metadata
US9031343B2 (en) 2011-09-28 2015-05-12 Pelican Imaging Corporation Systems and methods for encoding light field image files having a depth map
US9031342B2 (en) 2011-09-28 2015-05-12 Pelican Imaging Corporation Systems and methods for encoding refocusable light field image files
US20180197035A1 (en) 2011-09-28 2018-07-12 Fotonation Cayman Limited Systems and Methods for Encoding Image Files Containing Depth Maps Stored as Metadata
US9412206B2 (en) 2012-02-21 2016-08-09 Pelican Imaging Corporation Systems and methods for the manipulation of captured light field image data
US10311649B2 (en) 2012-02-21 2019-06-04 Fotonation Limited Systems and method for performing depth based image editing
US9754422B2 (en) 2012-02-21 2017-09-05 Fotonation Cayman Limited Systems and method for performing depth based image editing
US9210392B2 (en) 2012-05-01 2015-12-08 Pelican Imaging Coporation Camera modules patterned with pi filter groups
US9706132B2 (en) 2012-05-01 2017-07-11 Fotonation Cayman Limited Camera modules patterned with pi filter groups
US9807382B2 (en) 2012-06-28 2017-10-31 Fotonation Cayman Limited Systems and methods for detecting defective camera arrays and optic arrays
US10334241B2 (en) 2012-06-28 2019-06-25 Fotonation Limited Systems and methods for detecting defective camera arrays and optic arrays
US9100635B2 (en) 2012-06-28 2015-08-04 Pelican Imaging Corporation Systems and methods for detecting defective camera arrays and optic arrays
US11022725B2 (en) 2012-06-30 2021-06-01 Fotonation Limited Systems and methods for manufacturing camera modules using active alignment of lens stack arrays and sensors
US10261219B2 (en) 2012-06-30 2019-04-16 Fotonation Limited Systems and methods for manufacturing camera modules using active alignment of lens stack arrays and sensors
US9766380B2 (en) 2012-06-30 2017-09-19 Fotonation Cayman Limited Systems and methods for manufacturing camera modules using active alignment of lens stack arrays and sensors
US9240049B2 (en) 2012-08-21 2016-01-19 Pelican Imaging Corporation Systems and methods for measuring depth using an array of independently controllable cameras
US9147254B2 (en) 2012-08-21 2015-09-29 Pelican Imaging Corporation Systems and methods for measuring depth in the presence of occlusions using a subset of images
US9858673B2 (en) 2012-08-21 2018-01-02 Fotonation Cayman Limited Systems and methods for estimating depth and visibility from a reference viewpoint for pixels in a set of images captured from different viewpoints
US9129377B2 (en) 2012-08-21 2015-09-08 Pelican Imaging Corporation Systems and methods for measuring depth based upon occlusion patterns in images
US10380752B2 (en) 2012-08-21 2019-08-13 Fotonation Limited Systems and methods for estimating depth and visibility from a reference viewpoint for pixels in a set of images captured from different viewpoints
US9123117B2 (en) 2012-08-21 2015-09-01 Pelican Imaging Corporation Systems and methods for generating depth maps and corresponding confidence maps indicating depth estimation reliability
US9123118B2 (en) 2012-08-21 2015-09-01 Pelican Imaging Corporation System and methods for measuring depth using an array camera employing a bayer filter
US9235900B2 (en) 2012-08-21 2016-01-12 Pelican Imaging Corporation Systems and methods for estimating depth and visibility from a reference viewpoint for pixels in a set of images captured from different viewpoints
US9813616B2 (en) 2012-08-23 2017-11-07 Fotonation Cayman Limited Feature based high resolution motion estimation from low resolution images captured using an array source
US10462362B2 (en) 2012-08-23 2019-10-29 Fotonation Limited Feature based high resolution motion estimation from low resolution images captured using an array source
US9214013B2 (en) 2012-09-14 2015-12-15 Pelican Imaging Corporation Systems and methods for correcting user identified artifacts in light field images
US10390005B2 (en) 2012-09-28 2019-08-20 Fotonation Limited Generating images from light fields utilizing virtual viewpoints
US9749568B2 (en) 2012-11-13 2017-08-29 Fotonation Cayman Limited Systems and methods for array camera focal plane control
US10009538B2 (en) 2013-02-21 2018-06-26 Fotonation Cayman Limited Systems and methods for generating compressed light field representation data using captured light fields, array geometry, and parallax information
US9462164B2 (en) 2013-02-21 2016-10-04 Pelican Imaging Corporation Systems and methods for generating compressed light field representation data using captured light fields, array geometry, and parallax information
US9374512B2 (en) 2013-02-24 2016-06-21 Pelican Imaging Corporation Thin form factor computational array cameras and modular array cameras
US9253380B2 (en) 2013-02-24 2016-02-02 Pelican Imaging Corporation Thin form factor computational array cameras and modular array cameras
US9774831B2 (en) 2013-02-24 2017-09-26 Fotonation Cayman Limited Thin form factor computational array cameras and modular array cameras
US9743051B2 (en) 2013-02-24 2017-08-22 Fotonation Cayman Limited Thin form factor computational array cameras and modular array cameras
US9917998B2 (en) 2013-03-08 2018-03-13 Fotonation Cayman Limited Systems and methods for measuring scene information while capturing images using array cameras
US9774789B2 (en) 2013-03-08 2017-09-26 Fotonation Cayman Limited Systems and methods for high dynamic range imaging using array cameras
US11570423B2 (en) 2013-03-10 2023-01-31 Adeia Imaging Llc System and methods for calibration of an array camera
US10958892B2 (en) 2013-03-10 2021-03-23 Fotonation Limited System and methods for calibration of an array camera
US11272161B2 (en) 2013-03-10 2022-03-08 Fotonation Limited System and methods for calibration of an array camera
US10225543B2 (en) 2013-03-10 2019-03-05 Fotonation Limited System and methods for calibration of an array camera
US9986224B2 (en) 2013-03-10 2018-05-29 Fotonation Cayman Limited System and methods for calibration of an array camera
US9124864B2 (en) 2013-03-10 2015-09-01 Pelican Imaging Corporation System and methods for calibration of an array camera
US9521416B1 (en) 2013-03-11 2016-12-13 Kip Peli P1 Lp Systems and methods for image data compression
US9106784B2 (en) 2013-03-13 2015-08-11 Pelican Imaging Corporation Systems and methods for controlling aliasing in images captured by an array camera for use in super-resolution processing
US10127682B2 (en) 2013-03-13 2018-11-13 Fotonation Limited System and methods for calibration of an array camera
US9800856B2 (en) 2013-03-13 2017-10-24 Fotonation Cayman Limited Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies
US9519972B2 (en) 2013-03-13 2016-12-13 Kip Peli P1 Lp Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies
US9741118B2 (en) 2013-03-13 2017-08-22 Fotonation Cayman Limited System and methods for calibration of an array camera
US9733486B2 (en) 2013-03-13 2017-08-15 Fotonation Cayman Limited Systems and methods for controlling aliasing in images captured by an array camera for use in super-resolution processing
US9888194B2 (en) 2013-03-13 2018-02-06 Fotonation Cayman Limited Array camera architecture implementing quantum film image sensors
US9578259B2 (en) 2013-03-14 2017-02-21 Fotonation Cayman Limited Systems and methods for reducing motion blur in images or video in ultra low light with array cameras
US10091405B2 (en) 2013-03-14 2018-10-02 Fotonation Cayman Limited Systems and methods for reducing motion blur in images or video in ultra low light with array cameras
US9100586B2 (en) 2013-03-14 2015-08-04 Pelican Imaging Corporation Systems and methods for photometric normalization in array cameras
US10412314B2 (en) 2013-03-14 2019-09-10 Fotonation Limited Systems and methods for photometric normalization in array cameras
US9787911B2 (en) 2013-03-14 2017-10-10 Fotonation Cayman Limited Systems and methods for photometric normalization in array cameras
US10547772B2 (en) 2013-03-14 2020-01-28 Fotonation Limited Systems and methods for reducing motion blur in images or video in ultra low light with array cameras
US10674138B2 (en) 2013-03-15 2020-06-02 Fotonation Limited Autofocus system for a conventional camera that uses depth information from an array camera
US9438888B2 (en) 2013-03-15 2016-09-06 Pelican Imaging Corporation Systems and methods for stereo imaging with camera arrays
US9497429B2 (en) 2013-03-15 2016-11-15 Pelican Imaging Corporation Extended color processing on pelican array cameras
US9497370B2 (en) 2013-03-15 2016-11-15 Pelican Imaging Corporation Array camera architecture implementing quantum dot color filters
US9955070B2 (en) 2013-03-15 2018-04-24 Fotonation Cayman Limited Systems and methods for synthesizing high resolution images using image deconvolution based on motion and depth information
US10455218B2 (en) 2013-03-15 2019-10-22 Fotonation Limited Systems and methods for estimating depth using stereo array cameras
US10638099B2 (en) 2013-03-15 2020-04-28 Fotonation Limited Extended color processing on pelican array cameras
US9633442B2 (en) 2013-03-15 2017-04-25 Fotonation Cayman Limited Array cameras including an array camera module augmented with a separate camera
US10542208B2 (en) 2013-03-15 2020-01-21 Fotonation Limited Systems and methods for synthesizing high resolution images using image deconvolution based on motion and depth information
US10122993B2 (en) 2013-03-15 2018-11-06 Fotonation Limited Autofocus system for a conventional camera that uses depth information from an array camera
US9602805B2 (en) 2013-03-15 2017-03-21 Fotonation Cayman Limited Systems and methods for estimating depth using ad hoc stereo array cameras
US9800859B2 (en) 2013-03-15 2017-10-24 Fotonation Cayman Limited Systems and methods for estimating depth using stereo array cameras
US10182216B2 (en) 2013-03-15 2019-01-15 Fotonation Limited Extended color processing on pelican array cameras
US10540806B2 (en) 2013-09-27 2020-01-21 Fotonation Limited Systems and methods for depth-assisted perspective distortion correction
US9898856B2 (en) 2013-09-27 2018-02-20 Fotonation Cayman Limited Systems and methods for depth-assisted perspective distortion correction
US9426343B2 (en) 2013-11-07 2016-08-23 Pelican Imaging Corporation Array cameras incorporating independently aligned lens stacks
US9264592B2 (en) 2013-11-07 2016-02-16 Pelican Imaging Corporation Array camera modules incorporating independently aligned lens stacks
US9924092B2 (en) 2013-11-07 2018-03-20 Fotonation Cayman Limited Array cameras incorporating independently aligned lens stacks
US9185276B2 (en) 2013-11-07 2015-11-10 Pelican Imaging Corporation Methods of manufacturing array camera modules incorporating independently aligned lens stacks
US11486698B2 (en) 2013-11-18 2022-11-01 Fotonation Limited Systems and methods for estimating depth from projected texture using camera arrays
US10119808B2 (en) 2013-11-18 2018-11-06 Fotonation Limited Systems and methods for estimating depth from projected texture using camera arrays
US10767981B2 (en) 2013-11-18 2020-09-08 Fotonation Limited Systems and methods for estimating depth from projected texture using camera arrays
US9426361B2 (en) 2013-11-26 2016-08-23 Pelican Imaging Corporation Array camera configurations incorporating multiple constituent array cameras
US9456134B2 (en) 2013-11-26 2016-09-27 Pelican Imaging Corporation Array camera configurations incorporating constituent array cameras and constituent cameras
US10708492B2 (en) 2013-11-26 2020-07-07 Fotonation Limited Array camera configurations incorporating constituent array cameras and constituent cameras
US9813617B2 (en) 2013-11-26 2017-11-07 Fotonation Cayman Limited Array camera configurations incorporating constituent array cameras and constituent cameras
US10574905B2 (en) 2014-03-07 2020-02-25 Fotonation Limited System and methods for depth regularization and semiautomatic interactive matting using RGB-D images
US10089740B2 (en) 2014-03-07 2018-10-02 Fotonation Limited System and methods for depth regularization and semiautomatic interactive matting using RGB-D images
US9247117B2 (en) 2014-04-07 2016-01-26 Pelican Imaging Corporation Systems and methods for correcting for warpage of a sensor array in an array camera module by introducing warpage into a focal plane of a lens stack array
US9521319B2 (en) 2014-06-18 2016-12-13 Pelican Imaging Corporation Array cameras and array camera modules including spectral filters disposed outside of a constituent image sensor
US11546576B2 (en) 2014-09-29 2023-01-03 Adeia Imaging Llc Systems and methods for dynamic calibration of array cameras
US10250871B2 (en) 2014-09-29 2019-04-02 Fotonation Limited Systems and methods for dynamic calibration of array cameras
CN105635564A (en) * 2014-11-21 2016-06-01 摩托罗拉移动有限责任公司 Multiple camera apparatus and method for synchronized autofocus
WO2016141627A1 (en) * 2015-03-11 2016-09-15 宇龙计算机通信科技(深圳)有限公司 Image acquisition method, image acquisition device and terminal
US9942474B2 (en) 2015-04-17 2018-04-10 Fotonation Cayman Limited Systems and methods for performing high speed video capture and depth estimation using array cameras
US10582132B2 (en) 2016-12-20 2020-03-03 Microsoft Technology Licensing, Llc Dynamic range extension to produce images
WO2018118542A1 (en) * 2016-12-20 2018-06-28 Microsoft Technology Licensing, Llc Dynamic range extension to produce high dynamic range images
CN112653846A (en) * 2016-12-20 2021-04-13 微软技术许可有限责任公司 Dynamic range extension to produce high dynamic range images
US10187584B2 (en) 2016-12-20 2019-01-22 Microsoft Technology Licensing, Llc Dynamic range extension to produce high dynamic range images
CN112653846B (en) * 2016-12-20 2022-07-15 微软技术许可有限责任公司 Method, apparatus and computer readable medium for generating high dynamic range images
CN110089106A (en) * 2016-12-20 2019-08-02 微软技术许可有限责任公司 To generate the dynamic range expansion of high dynamic range images
US10630888B2 (en) 2017-02-09 2020-04-21 Samsung Electronics Co., Ltd. Method and apparatus for selecting capture configuration based on scene analysis
US10482618B2 (en) 2017-08-21 2019-11-19 Fotonation Limited Systems and methods for hybrid depth regularization
US10818026B2 (en) 2017-08-21 2020-10-27 Fotonation Limited Systems and methods for hybrid depth regularization
US11562498B2 (en) 2017-08-21 2023-01-24 Adela Imaging LLC Systems and methods for hybrid depth regularization
US11699273B2 (en) 2019-09-17 2023-07-11 Intrinsic Innovation Llc Systems and methods for surface modeling using polarization cues
US11270110B2 (en) 2019-09-17 2022-03-08 Boston Polarimetrics, Inc. Systems and methods for surface modeling using polarization cues
US11525906B2 (en) 2019-10-07 2022-12-13 Intrinsic Innovation Llc Systems and methods for augmentation of sensor systems and imaging systems with polarization
US11302012B2 (en) 2019-11-30 2022-04-12 Boston Polarimetrics, Inc. Systems and methods for transparent object segmentation using polarization cues
US11842495B2 (en) 2019-11-30 2023-12-12 Intrinsic Innovation Llc Systems and methods for transparent object segmentation using polarization cues
US11580667B2 (en) 2020-01-29 2023-02-14 Intrinsic Innovation Llc Systems and methods for characterizing object pose detection and measurement systems
US11797863B2 (en) 2020-01-30 2023-10-24 Intrinsic Innovation Llc Systems and methods for synthesizing data for training statistical models on different imaging modalities including polarized images
US11683594B2 (en) 2021-04-15 2023-06-20 Intrinsic Innovation Llc Systems and methods for camera exposure control
US11290658B1 (en) 2021-04-15 2022-03-29 Boston Polarimetrics, Inc. Systems and methods for camera exposure control
US11689813B2 (en) 2021-07-01 2023-06-27 Intrinsic Innovation Llc Systems and methods for high dynamic range imaging using crossed polarizers

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