Motion blur image restoration based on generative adversarial networks

Feng Wang; Qiong Cai

doi:10.1117/12.2645524

23 August 2022 Motion blur image restoration based on generative adversarial networks

Feng Wang, Qiong Cai

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 1230518 (2022) https://doi.org/10.1117/12.2645524
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

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.

Citation Download Citation

Feng Wang and Qiong Cai "Motion blur image restoration based on generative adversarial networks", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 1230518 (23 August 2022); https://doi.org/10.1117/12.2645524

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