NEURAL NETWORKS FOR HIGH DYNAMIC RANGE VIDEO SUPER-RESOLUTION

    公开(公告)号:US20250111475A1

    公开(公告)日:2025-04-03

    申请号:US18846430

    申请日:2023-03-17

    Abstract: Methods and systems for the super resolution of high dynamic range (HDR) video are described. Given a sequence of video frames, a current frame and two or more neighboring frames are processed by a neural-network (NN) feature extraction module, followed by a NN upscaling module, and a NN reconstruction module. In parallel, the current frame is upscaled using traditional up-sampling to generate an intermediate up-sampled frame. The output of the reconstruction module is added to the intermediate up-sampled frame to generate an output frame. Additional traditional up-sampling may be performed on the output frame to match the desired up-scaling factor, beyond the up-scaling factor for which the neural network was trained.

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