Underwater image enhancement based on computational imaging and deep learning

Xiao Yu; Jia Yu; Ma Zhen; OuYang Feng; Bing Zheng

doi:10.1117/12.2601458

9 October 2021 Underwater image enhancement based on computational imaging and deep learning

Xiao Yu, Jia Yu, Ma Zhen, OuYang Feng, Bing Zheng

Author Affiliations +

Proceedings Volume 11897, Optoelectronic Imaging and Multimedia Technology VIII; 118970U (2021) https://doi.org/10.1117/12.2601458
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

Conference Poster

Abstract

In order to solve the problem of quality degradation of underwater image due to absorption and scattering of water body, this paper proposes a method of underwater image enhancement based on the combination of computational imaging and deep learning. The method has achieved good results in removing image blur and scattering noise. It can effectively enhance the target images in turbid water, which will allow underwater image applications to have a wider range of areas.

Citation Download Citation

Xiao Yu, Jia Yu, Ma Zhen, OuYang Feng, and Bing Zheng "Underwater image enhancement based on computational imaging and deep learning", Proc. SPIE 11897, Optoelectronic Imaging and Multimedia Technology VIII, 118970U (9 October 2021); https://doi.org/10.1117/12.2601458

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