IMAGE-STATISTICS-BASED DE-BANDING IN SDR TO HDR CONVERSION

    公开(公告)号:US20240221134A1

    公开(公告)日:2024-07-04

    申请号:US18496317

    申请日:2023-10-27

    CPC classification number: G06T5/009 G06T2207/20208

    Abstract: One embodiment provides a computer-implemented method that includes employing a de-banding process based on image statistics in a dynamic range conversion system, including high dynamic range (HDR) to standard dynamic range (SDR) tone mapping (TM) process or SDR-to-HDR inverse tone mapping (ITM) process. A computing device performs the de-banding process in post-processing during a determination of one or more initial ITM explicit polynomial curve coefficients. One or more parameters of a weighing function of the one or more initial ITM explicit curve coefficients are utilized as one or more controlling knots for balancing a de-banding effect and preserving local detail.

    COLOR GAMUT COMPRESSION AND EXTENSION
    24.
    发明公开

    公开(公告)号:US20230197035A1

    公开(公告)日:2023-06-22

    申请号:US18173676

    申请日:2023-02-23

    CPC classification number: G09G5/06 G09G2340/06

    Abstract: One embodiment provides a method comprising determining a first representation of a source gamut of an input content in a first (2D) device-independent color space, determining a second representation of a target gamut of a display device in a second 2D device-independent color space, and determining a color transition protection zone (TPZ) based on the source gamut and the target gamut. The method further comprises utilizing a color gamut mapping (CGM) module to perform, based on the TPZ, linear color gamut compression from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is narrower than the source gamut. The method further comprises utilizing the same CGM module to perform, based on the TPZ, linear color gamut extension from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is wider than the source gamut.

    CONTENT ADAPTED BLACK LEVEL COMPENSATION FOR A HDR DISPLAY BASED ON DYNAMIC METADATA

    公开(公告)号:US20230120505A1

    公开(公告)日:2023-04-20

    申请号:US18053304

    申请日:2022-11-07

    Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

    Color gamut compression and extension

    公开(公告)号:US11615763B2

    公开(公告)日:2023-03-28

    申请号:US17460009

    申请日:2021-08-27

    Abstract: One embodiment provides a method comprising determining a first representation of a source gamut of an input content in a first two-dimensional (2D) device-independent color space, determining a second representation of a target gamut of a display device in a second 2D device-independent color space, and determining a color transition protection zone (TPZ) based on the source gamut and the target gamut. The method further comprises utilizing a color gamut mapping (CGM) module to perform, based on the TPZ, linear color gamut compression from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is narrower than the source gamut. The method further comprises utilizing the same CGM module to perform, based on the TPZ, linear color gamut extension from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is wider than the source gamut.

    COLOR GAMUT COMPRESSION AND EXTENSION

    公开(公告)号:US20220139355A1

    公开(公告)日:2022-05-05

    申请号:US17460009

    申请日:2021-08-27

    Abstract: One embodiment provides a method comprising determining a first representation of a source gamut of an input content in a first two-dimensional (2D) device-independent color space, determining a second representation of a target gamut of a display device in a second 2D device-independent color space, and determining a color transition protection zone (TPZ) based on the source gamut and the target gamut. The method further comprises utilizing a color gamut mapping (CGM) module to perform, based on the TPZ, linear color gamut compression from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is narrower than the source gamut. The method further comprises utilizing the same CGM module to perform, based on the TPZ, linear color gamut extension from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is wider than the source gamut.

    Detecting stationary regions for organic light emitting diode (OLED) television (TV) luminance reduction

    公开(公告)号:US12211434B2

    公开(公告)日:2025-01-28

    申请号:US17818679

    申请日:2022-08-09

    Abstract: One embodiment provides a computer-implemented method that includes adaptively adjusting a detection time interval based on stationary region type of one or more stationary regions and a scene length in a video. The method further includes tracking pixels of the one or more stationary regions from a number of previous frames to a current frame in the video in real-time. A minimum and a maximum of max-Red-Green-Blue (MaxRGB) pixel values are extracted from each frame in a scene of the video as minimum and a maximum temporal feature maps for representing pixel variance over time. Segmentation and block matching are applied on the minimum and maximum temporal feature maps to detect the stationary region type.

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