SYSTEMS AND METHODS FOR IMAGE DENOISING USING DEEP CONVOLUTIONAL NETWORKS

    公开(公告)号:US20230043310A1

    公开(公告)日:2023-02-09

    申请号:US17972961

    申请日:2022-10-25

    Abstract: A method includes: computing noise data by subtracting, by a processing circuit, a noisy image from a corresponding ground truth image; clustering, by the processing circuit, a plurality of noise values of the noise data based on intensity values of the corresponding ground truth image; permuting, by the processing circuit, a plurality of locations of the noise values of the noise data within each cluster; generating, by the processing circuit, a synthetic noise image based on the permuted locations of the noise values; adding, by the processing circuit, the synthetic noise image to the corresponding ground truth image to generate a synthetic noisy image; and augmenting an image dataset for training a neural network to perform image denoising with the synthetic noisy image.

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