DEBLURRING METHOD AND APPARATUS BASED ON UNSUPERVISED LEARNING AND LATENT SPACE PROCESSING

    公开(公告)号:US20250069195A1

    公开(公告)日:2025-02-27

    申请号:US18757222

    申请日:2024-06-27

    Abstract: The present invention relates to a deblurring method and apparatus based on unsupervised learning and latent space processing. An unsupervised learning method of a deblurring model according to the present invention includes inputting an input image into a deblurring model to generate a restored image, calculating an error between the input image and the restored image, and training the deblurring model based on the error. A latent space processing-based deblurring method according to the present invention includes inputting a deblurring target image into an encoder, applying an image filtering technique to an output of the encoder, and inputting the output of the encoder, to which the image filtering technique has been applied, into a decoder to generate a deblurred image.

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