COMPRESSION WITH MULTI-LEVEL ENCODING
    111.
    发明申请

    公开(公告)号:US20200007867A1

    公开(公告)日:2020-01-02

    申请号:US16459485

    申请日:2019-07-01

    Applicant: Apple Inc.

    Abstract: A system comprises an encoder configured to compress images, such as image frames comprising attribute information and/or spatial for a point cloud and/or an occupancy map for the point cloud. Also, a system includes a decoder configured to decompress compressed image frames, such as image frames comprising compressed attribute and/or spatial information for the point cloud or an occupancy map for the point cloud. Additionally, the encoder may map N-bit data to M-bit code words, where M is less than N. Alternatively the encoder may map N-bit data to M-bit code words, where M is greater than N. In a similar manner, a decoder may map the M-bit code words back to the N-bit data.

    HIERARCHICAL POINT CLOUD COMPRESSION WITH SMOOTHING

    公开(公告)号:US20190311501A1

    公开(公告)日:2019-10-10

    申请号:US16380930

    申请日:2019-04-10

    Applicant: Apple Inc.

    Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, multiple levels of detail are generated based on spatial information. Also, attribute values are predicted based on the level of details. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, an update operation is performed to smooth attribute correction values taking into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.

    POINT CLOUD COMPRESSION
    114.
    发明申请

    公开(公告)号:US20190311500A1

    公开(公告)日:2019-10-10

    申请号:US16380928

    申请日:2019-04-10

    Applicant: Apple Inc.

    Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. In some embodiments, an encoder may be configured to further compress points omitted from the image based representation. Also, in some embodiments, a decoder may be configured to decode points compressed outside of an image based representation or in a separate image based representation.

    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.

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