IMAGE DENOISING METHOD
    1.
    发明公开

    公开(公告)号:US20240320805A1

    公开(公告)日:2024-09-26

    申请号:US18612094

    申请日:2024-03-21

    Abstract: There is provided an image denoising method including extracting a noise patch from a noisy image, outputting a noise parameter by inputting the noise patch to a noise parameter estimation network (NPE-net), generating imitated virtual noise based on the output noise parameter, generating a noisier image by adding the imitated virtual noise to the noisy image, training a denoise deep learning model by inputting the noisy image and the noisier image as a pair to the denoise deep learning model, inputting the noisy image to the trained denoise deep learning model, and outputting a denoise image obtained by removing noise from the noisy image by the trained denoise deep learning model.

    Pattern inspection method using pattern model

    公开(公告)号:US12205267B2

    公开(公告)日:2025-01-21

    申请号:US17737494

    申请日:2022-05-05

    Abstract: A pattern inspection method includes converting sample patterns of a sample image into training images, extracting feature values of the training patterns, setting feature vectors of the training patterns on the basis of the feature values, converting the feature vectors into Gaussian vectors, clustering the Gaussian vectors, thereby sorting the Gaussian vectors into clusters, selecting a select vector from each of the clusters, storing, as a pattern model, the training pattern corresponding to the select vector in a database, converting a target pattern of a target image into an inspection pattern on the basis of the pattern model, and inspecting the inspection pattern.

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