IMAGE PROCESSING METHOD
    2.
    发明公开

    公开(公告)号:US20240244221A1

    公开(公告)日:2024-07-18

    申请号:US18558741

    申请日:2023-01-04

    Abstract: An image processing method includes: obtaining a current image frame and a reference image frame; sequentially performing downsampling and upsampling on the current image frame to obtain a processed current image frame, and sequentially performing downsampling and upsampling on the reference image frame to obtain a processed reference image frame; according to a preset division manner, dividing the processed current image frame into current image sub-blocks and dividing the processed reference image frame into reference image sub-blocks; determining a reference image sub-block with a minimum similarity to each current image sub-block among the reference image sub-blocks as a matching block of the current image sub-block; obtaining a motion vector corresponding to the current image sub-block based on each current image sub-block and the matching block corresponding to the current image sub-block; and encoding the current image frame based on the motion vector.

    VIDEO FRAME INTERPOLATION METHOD AND DEVICE, COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220116567A1

    公开(公告)日:2022-04-14

    申请号:US17265568

    申请日:2020-04-30

    Abstract: A video frame interpolation method and device, and a computer-readable storage medium are described. The method includes: inputting at least two image frames into a video frame interpolation model to obtain at least one frame-interpolation image frame, training the initial model using a first loss to obtain a reference model, copying the reference model to obtain three reference models with shared parameters, selecting different target sample images according to a preset rules to train the first/second reference model to obtain a first/second frame-interpolation result; selecting third target sample images from the first/second frame-interpolation result to train the third reference model to obtain the frame-interpolation result, obtaining a total loss of the first training model based on the frame-interpolation result and the sample images, adjusting parameters of the first training model based on the total loss, and using a parameter model via a predetermined number of iterations as the video frame interpolation model.

    UNDECIMATED IMAGE PROCESSING METHOD AND DEVICE

    公开(公告)号:US20240185570A1

    公开(公告)日:2024-06-06

    申请号:US17781182

    申请日:2021-06-25

    CPC classification number: G06V10/7715 G06V10/82

    Abstract: An undecimated image processing method includes: acquiring an image to be processed, inputting the image to be processed into an image processing network, to obtain an output image, where a resolution of the output image is the same with a resolution of the image to be processed. The inputting the image to be processed into the image processing network to obtain the output image includes: inputting the image to be processed into an analysis module to perform feature analysis, and outputting a feature tensor image; inputting the feature tensor image into a processing module, and outputting a processed feature tensor image; and synthesizing, by a synthesis module, at least one feature tensor image outputted by the at least one processing module to obtain the output image.

Patent Agency Ranking