TECHNIQUES FOR IMAGE PROCESSING
    2.
    发明申请

    公开(公告)号:US20200294191A1

    公开(公告)日:2020-09-17

    申请号:US16298793

    申请日:2019-03-11

    Abstract: Methods, systems, and devices for processing color information are described. The method may include receiving a first set of image data collected at an image sensor based on a first color filter array having a first filter pattern, calculating a color saturation gradient based on the first set of image data, and calculating multiple color gradients based on the color saturation gradient. The multiple color gradients may each be associated with a region of the first set of image data, where each color gradient characterizes a color variation along a different direction of the region. The method may include generating a second set of image data including a color value for the region based on comparing a first direction gradient of the multiple color gradients with a second direction gradient of the multiple color gradients. Color values associated with the regions may be mapped to a second color filter array.

    BIT SPLITTING TO PROCESS HIGH BIT DEPTH IMAGES

    公开(公告)号:US20250037240A1

    公开(公告)日:2025-01-30

    申请号:US18360577

    申请日:2023-07-27

    Abstract: This disclosure provides systems, methods, and devices for image signal processing that support high dynamic range (HDR) image processing. In a first aspect, a method of image processing includes receiving, by a processor, first image data comprising a plurality of image frames comprising at least a first image frame having a first bitwidth and a second image frame having a second bitwidth, wherein the plurality of image frames represent a same scene; and determining a processed image frame having an output bitwidth higher than the first bitwidth and higher than the second bitwidth, the processed image frame based on the plurality of image frames by combining the plurality of image frames to obtain the output bitwidth. Other aspects and features are also claimed and described.

    Image data processing using non-integer ratio transforming for color arrays

    公开(公告)号:US11582405B1

    公开(公告)日:2023-02-14

    申请号:US17448654

    申请日:2021-09-23

    Abstract: A transformer may transform image data from a first color pattern to a second color pattern. The transforming of image data may be applied to image data received from a memory storing an array of intensities corresponding to a first color pattern of a first color filter array (CFA) of an image sensor to a second color pattern. The second color pattern may be a color pattern of a size smaller that the first CFA. Remosaicing may be applied to the second color pattern to obtain image data organized in a Bayer color pattern. The transforming may be configured to operate on data from an image sensor to obtain different zoom levels not available without applying a digital zoom algorithm that involve upscaling, which reduces the image quality of the image data.

    Minimizing ghosting in high dynamic range image processing

    公开(公告)号:US11363213B1

    公开(公告)日:2022-06-14

    申请号:US17187357

    申请日:2021-02-26

    Abstract: Methods, systems, and devices for minimizing ghosting in high dynamic range image processing are described. The method may include capturing from a sensor of the device a downscaled first frame of a first exposure length and a downscaled second frame of a second exposure length that is longer than the first exposure length, identifying a highlight region associated with the downscaled first frame and a motion region associated with the downscaled first frame and with the downscaled second frame, blending the motion region in accordance with determining whether at least a portion of the motion region overlaps the highlight region, and incorporating the blending of the motion region in a set of full resolution frames.

    DEBLURRING PROCESS FOR DIGITAL IMAGE PROCESSING

    公开(公告)号:US20210366084A1

    公开(公告)日:2021-11-25

    申请号:US16882082

    申请日:2020-05-22

    Abstract: Aspects of the present disclosure relate to QCFA deblurring. An example method includes obtaining an image to be processed and determining an average of pixel values between a first one or more pixels and a second one or more pixels of the image. The second one or more pixels neighbor the first one or more pixels. The method also includes determining a difference between pixel values of the first one or more pixels and the second one or more pixels, generating one or more weights based on the average and the difference, and combining the average and the difference based on the one or more weights to generate a deblurred pixel value. A processed image includes one or more deblurred pixel values.

    PATTERN CONFIGURABLE PIXEL CORRECTION
    7.
    发明申请

    公开(公告)号:US20200336684A1

    公开(公告)日:2020-10-22

    申请号:US16389221

    申请日:2019-04-19

    Abstract: Methods, systems, and devices for image processing are described. A device may capture image data based on a color filter array (CFA) associated with an image sensor. The image data may include a set of pixels. The device may determine a CFA pattern of the CFA and select a configuration appropriately. The configuration may include an indication of a first set of neighboring pixels for each pixel of the set of pixels to use to determine that a pixel is defective and a second set of neighboring pixels for each pixel of the set of pixels to use to correct the defective pixel. The device may determine that the pixel of the set of pixels is defective using the configuration, and correct the defective pixel using pixel values of the first set of neighboring pixels, or pixel values of the second set of neighboring pixels, or both.

    TILE-SELECTION BASED DEEP DEMOSAICING ACCELERATION

    公开(公告)号:US20190387205A1

    公开(公告)日:2019-12-19

    申请号:US16010313

    申请日:2018-06-15

    Abstract: Aspects of the present disclosure relate to systems and methods for selectively processing tiles of a captured image. The captured image may be parsed into a plurality of tiles. A subset of the plurality of tiles may be selected based at least in part on at least one metric. The selected tiles may be processed according to a first technique, while each unselected tile may be selectively processed according to one or more techniques different from the first technique. The first technique and the one or more techniques may each be either an image demosaicing technique or an image denoising technique.

    TUNING FOR DEEP-LEARNING-BASED COLOR ENHANCEMENT SYSTEMS

    公开(公告)号:US20190311464A1

    公开(公告)日:2019-10-10

    申请号:US15946622

    申请日:2018-04-05

    Abstract: A device may obtain a pixel array representing an image and identify one or more representative metrics for the pixel array. The device may retrieve a first version of a mesh defining a color space, wherein the mesh includes a plurality of vertices and each vertex is associated with a respective set of color balance parameters. The device may identify a point in the color space corresponding to the pixel array based on the one or more representative metrics for the pixel array. The device may receive a tuning input comprising a set of color balance parameters for the point and generate a second version of the mesh by adding the point and the set of color balance parameters to the first version of the mesh. The device may output at least one color-corrected image based at least in part on the second version of the mesh.

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