ALTERNATING FRAME PROCESSING OPERATION WITH PREDICTED FRAME COMPARISONS FOR HIGH SAFETY LEVEL USE

    公开(公告)号:US20230111755A1

    公开(公告)日:2023-04-13

    申请号:US18079237

    申请日:2022-12-12

    Abstract: Frames from an image stream or streams are processed by independently operating digital signal processors (DSPs), with only frame checking microprocessors operating in a lockstep mode. In one example, two DSP are operating on alternate frames. Each DSP processes the frames and produces prediction values for the next frame. The lockstep microprocessors develop their own next frame prediction. The lockstep processors compare issued frames and previously developed predicted frames for consistency. If the predictions are close enough, the issued frame passes the test. The lockstep processors then compare the issued frame to the preceding two frames for a similar consistency check. If the prior frames are also close enough, the issued frame is acceptable. In another example, hardware checkers are provided to compare the present frame with a larger number of prior frames. The hardware checkers provide comparison results to the lockstep processors to compare against allowable variation limits.

    UNIVERSAL AND ADAPTIVE DE-MOSAICING (CFA) SYSTEM

    公开(公告)号:US20170161873A1

    公开(公告)日:2017-06-08

    申请号:US15349609

    申请日:2016-11-11

    Abstract: A method of de-mosaicing pixel data from an image processor includes generating a pixel block that includes a plurality of image pixels. The method also includes determining a first image gradient between a first set of pixels of the pixel block and a second image gradient between a second set of pixels of the pixel block. The method also includes determining a first adaptive threshold value based on intensity of a third set of pixels of the pixel block. The pixels of the third set of pixels are adjacent to one another. The method also includes filtering the pixel block in a vertical, horizontal, or neutral direction based on the first and second image gradients and the first adaptive threshold value utilizing a plurality of FIR filters to generate a plurality of component images.

    ALTERNATING FRAME PROCESSING OPERATION WITH PREDICTED FRAME COMPARISONS FOR HIGH SAFETY LEVEL USE

    公开(公告)号:US20220060740A1

    公开(公告)日:2022-02-24

    申请号:US17520795

    申请日:2021-11-08

    Abstract: Frames from an image stream or streams are processed by independently operating digital signal processors (DSPs), with only frame checking microprocessors operating in a lockstep mode. In one example, two DSP are operating on alternate frames. Each DSP processes the frames and produces prediction values for the next frame. The lockstep microprocessors develop their own next frame prediction. The lockstep processors compare issued frames and previously developed predicted frames for consistency. If the predictions are close enough, the issued frame passes the test. The lockstep processors then compare the issued frame to the preceding two frames for a similar consistency check. If the prior frames are also close enough, the issued frame is acceptable. In another example, hardware checkers are provided to compare the present frame with a larger number of prior frames. The hardware checkers provide comparison results to the lockstep processors to compare against allowable variation limits.

    SUPPRESSION OF CLIPPING ARTIFACTS FROM COLOR CONVERSION

    公开(公告)号:US20250054192A1

    公开(公告)日:2025-02-13

    申请号:US18929419

    申请日:2024-10-28

    Abstract: Techniques for image processing including receiving input image data, wherein the input image data includes data associated with a clear color channel, receiving a color offset value associated with a color channel, wherein color values for the color channel are not provided in the input image data, based on the color offset value, generating intermediate estimated color values for the color channel, wherein generating the intermediate estimated color values includes: clipping color values that have a magnitude greater than the color offset value, and adjusting color values that have a magnitude less than the color offset value based on the color offset value, applying a color correction function to the intermediate estimated color values based on the color offset value to determine color corrected estimated color values, and outputting the color corrected estimated color values.

    HIGH PRECISION COLOR PROCESSING FOR WIDE DYNAMIC RANGE SENSORS

    公开(公告)号:US20250030951A1

    公开(公告)日:2025-01-23

    申请号:US18909023

    申请日:2024-10-08

    Abstract: A technique for image processing, comprising: receiving input image data, wherein the image data is companded into a first bit depth, wherein the image data includes incomplete color values for pixels of the image data, and wherein the image data is associated with a first color space, interpolating the image data to generate color values for the incomplete color values for pixels of the image data, expanding the image data from the first bit depth to a second bit depth, wherein the color values of the expanded image data have a linear dynamic range, and wherein the second bit depth is higher than the first bit depth, converting the color values for pixels of the expanded image data from the first color space to a second color space, and compressing the color values for pixels of the image data to a third bit depth, the third bit depth lower than the second bit depth, and wherein the compressed color values have a nonlinear dynamic range.

    HIGH PRECISION COLOR PROCESSING FOR WIDE DYNAMIC RANGE SENSORS

    公开(公告)号:US20230171512A1

    公开(公告)日:2023-06-01

    申请号:US17538833

    申请日:2021-11-30

    CPC classification number: H04N9/04515 H04N9/67 H04N9/68

    Abstract: A technique for image processing, comprising: receiving input image data, wherein the image data is companded into a first bit depth, wherein the image data includes incomplete color values for pixels of the image data, and wherein the image data is associated with a first color space, interpolating the image data to generate color values for the incomplete color values for pixels of the image data, expanding the image data from the first bit depth to a second bit depth, wherein the color values of the expanded image data have a linear dynamic range, and wherein the second bit depth is higher than the first bit depth, converting the color values for pixels of the expanded image data from the first color space to a second color space, and compressing the color values for pixels of the image data to a third bit depth, the third bit depth lower than the second bit depth, and wherein the compressed color values have a nonlinear dynamic range.

    UNIVERSAL AND ADAPTIVE DE-MOSAICING (CFA) SYSTEM

    公开(公告)号:US20220408064A1

    公开(公告)日:2022-12-22

    申请号:US17895191

    申请日:2022-08-25

    Abstract: A method of de-mosaicing pixel data from an image processor includes generating a pixel block that includes a plurality of image pixels. The method also includes determining a first image gradient between a first set of pixels of the pixel block and a second image gradient between a second set of pixels of the pixel block. The method also includes determining a first adaptive threshold value based on intensity of a third set of pixels of the pixel block. The pixels of the third set of pixels are adjacent to one another. The method also includes filtering the pixel block in a vertical, horizontal, or neutral direction based on the first and second image gradients and the first adaptive threshold value utilizing a plurality of FIR filters to generate a plurality of component images.

    NOISE ESTIMATION USING USER-CONFIGURABLE INFORMATION

    公开(公告)号:US20220263979A1

    公开(公告)日:2022-08-18

    申请号:US17739291

    申请日:2022-05-09

    Abstract: In some examples, a method comprises receiving pixel data from an image capture device having a color filter, wherein the pixel data represents a portion of an image. The method further includes performing wavelet decomposition on the pixel data to produce decomposed pixel data and determining a local intensity of the pixel data. The method also includes determining a noise threshold value based on the local intensity and a noise intensity function that is based on the color filter; determining a noise value for the pixel data based on the decomposed pixel data and the noise threshold value; and correcting the pixel data based on the noise value to produce an output image.

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