Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement

doi:10.1109/JAS.2023.123771

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement
	Hongmin Liu; Qi Zhang; Yufan Hu; Hui Zeng; Bin Fan
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2024
卷号	11 期号:3 页码:708-722
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.
关键词	Multi-expert learning underwater image enhancement unsupervised learning
DOI	10.1109/JAS.2023.123771
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/54602
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 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.

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