Content adaptive deblocking during video encoding and decoding

    公开(公告)号:US11528499B2

    公开(公告)日:2022-12-13

    申请号:US17188784

    申请日:2021-03-01

    摘要: Disclosed herein are exemplary embodiments of methods, apparatus, and systems for performing content-adaptive deblocking to improve the visual quality of video images compressed using block-based motion-predictive video coding. For instance, in certain embodiments of the disclosed technology, edge information is obtained using global orientation energy edge detection (“OEED”) techniques on an initially deblocked image. OEED detection can provide a robust partition of local directional features (“LDFs”). For a local directional feature detected in the partition, a directional deblocking filter having an orientation corresponding to the orientation of the LDF can be used. The selected filter can have a filter orientation and activation thresholds that better preserve image details while reducing blocking artifacts. In certain embodiments, for a consecutive non-LDF region, extra smoothing can be imposed to suppress the visually severe blocking artifacts.

    HASH TABLE CONSTRUCTION AND AVAILABILITY CHECKING FOR HASH-BASED BLOCK MATCHING
    10.
    发明申请
    HASH TABLE CONSTRUCTION AND AVAILABILITY CHECKING FOR HASH-BASED BLOCK MATCHING 审中-公开
    用于基于HASH的块匹配的HASH表结构和可用性检查

    公开(公告)号:US20160277733A1

    公开(公告)日:2016-09-22

    申请号:US15029589

    申请日:2014-03-04

    摘要: Innovations in the areas of hash table construction and availability checking reduce computational complexity of hash-based block matching. For example, some of the innovations speed up the process of constructing a hash table or reduce the size of a hash table. This can speed up and reduce memory usage for hash-based block matching within a picture (for block vector estimation) or between different pictures (for motion estimation). Other innovations relate to availability checking during block vector estimation that uses a hash table.

    摘要翻译: 哈希表构建和可用性检查领域的创新降低了基于哈希的块匹配的计算复杂性。 例如,一些创新加快构建散列表的过程或减少散列表的大小。 这可以加快和减少图像内的基于散列的块匹配(用于块向量估计)或不同图像之间(用于运动估计)的存储器使用。 其他创新涉及使用哈希表的块向量估计期间的可用性检查。