BLIND LOCAL RESHAPING IN HDR IMAGING
    62.
    发明公开

    公开(公告)号:US20230156343A1

    公开(公告)日:2023-05-18

    申请号:US17916780

    申请日:2021-04-01

    Abstract: In an encoder, a high-dynamic range (HDR) image is encoded using a family of local forward reshaping functions selected according to an array of forward mapping indices (FMI) indicating which local forward reshaping function needs to be used for each pixel in the HDR image to generate a reshaped standard dynamic range (SDR) image. A decoder, given the reshaped SDR image, iteratively generates a reconstructed HDR image and estimated reshaped SDR images by adjusting a local FMI array and a local array of backward mapping indices (BMI) until an error metric related to the difference between the local BMI and FMI arrays and the difference between the estimate SDR images and the reshaped SDR image satisfy a convergence criterion. Techniques for generating families of local forward reshaping functions and local backward reshaping functions based on a global forward reshaping function are also presented.

    Coding of high dynamic range video using segment-based reshaping

    公开(公告)号:US10575028B2

    公开(公告)日:2020-02-25

    申请号:US16324468

    申请日:2017-09-11

    Abstract: Given HDR and SDR video inputs representing the same content, segment-based methods are described to generate a backward-compatible reshaped SDR video which preserves the artistic intent or “look” of the inputs and satisfies other coding requirements. For each frame in a segment, reshaping functions are generated based on a support frames set determined based on a sliding window of frames that is adjusted based on scene cuts in the segment and which may include frames from both the current segment and neighboring segments. For luma reshaping, a mapping that preserves the cumulative density function of the luminance histogram values in the EDR and SDR inputs is combined with a minimum codeword allocation derived based on the EDR signal and the support frame set. For chroma reshaping, methods for segment-based forward and backward reshaping using multivariate, multi-regression models are also presented.

    Self-adaptive prediction method for multi-layer codec

    公开(公告)号:US10542265B2

    公开(公告)日:2020-01-21

    申请号:US15329550

    申请日:2015-09-08

    Inventor: Guan-Ming Su

    Abstract: Relatively low dynamic range images or image partitions are converted into relatively high dynamic range images or image partitions that comprise reconstructed pixel values having a higher dynamic range than pixel values of the relatively low dynamic range images. Information relating to reconstructed pixel values of the relatively high dynamic range images and pixel values of the relatively low dynamic range images is collected. Prediction parameters are derived from the collected information. A predicted image or image partition is predicted from a relatively low dynamic range image or image partition based on the prediction parameters and comprises predicted pixel values having the higher dynamic range than pixel values of the relatively low dynamic range image or image partition.

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