SAMPLE ADAPTIVE OFFSET SYSTEMS AND METHODS
    1.
    发明申请

    公开(公告)号:US20170230656A1

    公开(公告)日:2017-08-10

    申请号:US15017286

    申请日:2016-02-05

    Applicant: APPLE INC.

    Abstract: Systems and methods for improving operation of a video encoding pipeline, which includes a sample adaptive offset block that selects an offset sample from image data corresponding with a coding unit; determines edge offset parameters including a first mapping of an edge classification to an edge offset value and band offset parameters including a second mapping of a band classification to a band offset value based at least in part on analysis of the offset sample; and determines sample adaptive offset parameters based at least in part on a first rate-distortion cost associated with the edge offset parameters and a second rate-distortion cost associated with the band offset parameters. Additionally, a decoding device may apply offsets to decoded image data corresponding with the coding unit based at least in part on the sample adaptive offset parameters.

    Sample adaptive offset systems and methods

    公开(公告)号:US10728546B2

    公开(公告)日:2020-07-28

    申请号:US15017286

    申请日:2016-02-05

    Applicant: APPLE INC.

    Abstract: Systems and methods for improving operation of a video encoding pipeline, which includes a sample adaptive offset block that selects an offset sample from image data corresponding with a coding unit; determines edge offset parameters including a first mapping of an edge classification to an edge offset value and band offset parameters including a second mapping of a band classification to a band offset value based at least in part on analysis of the offset sample; and determines sample adaptive offset parameters based at least in part on a first rate-distortion cost associated with the edge offset parameters and a second rate-distortion cost associated with the band offset parameters. Additionally, a decoding device may apply offsets to decoded image data corresponding with the coding unit based at least in part on the sample adaptive offset parameters.

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