DEBLOCKING FILTER FOR HIGH DYNAMIC RANGE (HDR) VIDEO

    公开(公告)号:US20180352264A1

    公开(公告)日:2018-12-06

    申请号:US15612806

    申请日:2017-06-02

    Applicant: Apple Inc.

    CPC classification number: H04N19/86 H04N19/117 H04N19/159

    Abstract: Methods of in-loop deblocking filter for high dynamic range (HDR) video compression are disclosed. HDR processing and standard dynamic range (SDR) processing adopt different electro-optical transfer function (EOTF) to convert digital code words to linear luminance. For compressing HDR video, EOTF is proposed to be involved in the selection of two deblocking parameters, β and tC, which control the strength of deblocking filter. In local activity checking for filter decisions, the calculated local signal characteristics and the thresholds are adjusted according to EOTF. After deblocking filter, the clipping range is modified based on EOTF. The chroma deblocking filter is also extended to inter-inter block boundary.

    Deblocking filter for high dynamic range (HDR) video

    公开(公告)号:US10212456B2

    公开(公告)日:2019-02-19

    申请号:US15612806

    申请日:2017-06-02

    Applicant: Apple Inc.

    Abstract: Methods of in-loop deblocking filter for high dynamic range (HDR) video compression are disclosed. HDR processing and standard dynamic range (SDR) processing adopt different electro-optical transfer function (EOTF) to convert digital code words to linear luminance. For compressing HDR video, EOTF is proposed to be involved in the selection of two deblocking parameters, β and tC, which control the strength of deblocking filter. In local activity checking for filter decisions, the calculated local signal characteristics and the thresholds are adjusted according to EOTF. After deblocking filter, the clipping range is modified based on EOTF. The chroma deblocking filter is also extended to inter-inter block boundary.

    Environment-Aware Supervised HDR Tone Mapping

    公开(公告)号:US20170353704A1

    公开(公告)日:2017-12-07

    申请号:US15611636

    申请日:2017-06-01

    Applicant: Apple Inc.

    Abstract: Embodiments of the present disclosure provide techniques for environment aware supervised HDR tone mapping. According to those techniques, responsive to metadata provided with HDR source video data, the received metadata may be compared to sensor date representing viewing conditions at a display device. Tone mapping corrections to the HDR source video data may be derived from the comparison of the received metadata to the sensor data. The HDR source video data may be altered based on the tone mapping corrections. The altered HDR source video data may be used to drive the display device.

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