Motion blur image restoration based on generative adversarial networks

During the image capture process, it is difficult to maintain relative stillness between the camera and the subject, resulting in blurred images. In order to solve this problem, based on the generative adversarial network, this paper introduces a residual module to solve the gradient dispersion prob...

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Bibliographic Details
Main Authors Wang, Feng, Cai, Qiong
Format Conference Proceeding
LanguageEnglish
Published SPIE 23.08.2022
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Summary:During the image capture process, it is difficult to maintain relative stillness between the camera and the subject, resulting in blurred images. In order to solve this problem, based on the generative adversarial network, this paper introduces a residual module to solve the gradient dispersion problem generated during the training process. The multi-scale theory is introduced to process the image to better extract the detailed information of the image. Finally, the experiment shows that the scheme has achieved good results.
Bibliography:Conference Location: Hangzhou, China
Conference Date: 2022-05-06|2022-05-08
ISBN:9781510656710
1510656715
ISSN:0277-786X
DOI:10.1117/12.2645524