中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement

文献类型:期刊论文

作者Hongmin Liu; Qi Zhang; Yufan Hu; Hui Zeng; Bin Fan
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2024
卷号11期号:3页码:708-722
ISSN号2329-9266
关键词Multi-expert learning underwater image enhancement unsupervised learning
DOI10.1109/JAS.2023.123771
英文摘要Underwater image enhancement aims to restore a clean appearance and thus improves the quality of underwater degraded images. Current methods feed the whole image directly into the model for enhancement. However, they ignored that the R, G and B channels of underwater degraded images present varied degrees of degradation, due to the selective absorption for the light. To address this issue, we propose an unsupervised multi-expert learning model by considering the enhancement of each color channel. Specifically, an unsupervised architecture based on generative adversarial network is employed to alleviate the need for paired underwater images. Based on this, we design a generator, including a multi-expert encoder, a feature fusion module and a feature fusion-guided decoder, to generate the clear underwater image. Accordingly, a multi-expert discriminator is proposed to verify the authenticity of the R, G and B channels, respectively. In addition, content perceptual loss and edge loss are introduced into the loss function to further improve the content and details of the enhanced images. Extensive experiments on public datasets demonstrate that our method achieves more pleasing results in vision quality. Various metrics (PSNR, SSIM, UIQM and UCIQE) evaluated on our enhanced images have been improved obviously.
源URL[http://ir.ia.ac.cn/handle/173211/54602]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Hongmin Liu,Qi Zhang,Yufan Hu,et al. Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(3):708-722.
APA Hongmin Liu,Qi Zhang,Yufan Hu,Hui Zeng,&Bin Fan.(2024).Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement.IEEE/CAA Journal of Automatica Sinica,11(3),708-722.
MLA Hongmin Liu,et al."Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement".IEEE/CAA Journal of Automatica Sinica 11.3(2024):708-722.

入库方式: OAI收割

来源:自动化研究所

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