DISPARITY-BASED DEPTH REFINEMENT USING CONFIDENCE INFORMATION AND STEREOSCOPIC DEPTH INFORMATION

    公开(公告)号:US20240404093A1

    公开(公告)日:2024-12-05

    申请号:US18327380

    申请日:2023-06-01

    Abstract: Systems and techniques are provided for generating disparity information from two or more images. For example, a process can include obtaining first disparity information corresponding to a pair of images, the pair of images including a first image of a scene and a second image of the scene. The process can include obtaining confidence information associated with the first disparity information. The process can include processing, using a machine learning network, the first disparity information and the confidence information to generate second disparity information corresponding to the pair of images. The process can include combining, based on the confidence information, the first disparity information with the second disparity information to generate a refined disparity map corresponding to the pair of images.

    ENHANCED RESOLUTION GENERATION AT DECODER
    3.
    发明公开

    公开(公告)号:US20240298016A1

    公开(公告)日:2024-09-05

    申请号:US18177942

    申请日:2023-03-03

    CPC classification number: H04N19/30 H04N19/159 H04N19/176 H04N19/46

    Abstract: A device includes a decoder that includes a spatial prediction engine, a temporal prediction engine, a reconstruction engine, and a decoded picture buffer. The device also includes a controller configured to cause the decoder to, in a base resolution mode, reconstruct a base resolution version of a block of a frame using the reconstruction engine and at least one of the spatial prediction engine or the temporal prediction engine. The controller is also configured to cause the decoder to, in an enhanced resolution mode, generate an enhanced resolution version of the block using the reconstruction engine and the at least one of the spatial prediction engine or the temporal prediction engine.

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