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Open Access

Peer-reviewed

Research Article

An optimized GAN method based on the Que-Attn and contrastive learning for underwater image enhancement

Zeru Lan,

Roles Data curation, Methodology, Validation, Writing – original draft

Affiliation School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China
⨯
Bin Zhou ,

Roles Data curation, Funding acquisition, Methodology, Validation, Writing – original draft

* E-mail: freetzb@163.com

Affiliation School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China

https://orcid.org/0000-0002-0314-2595

⨯
Weiwei Zhao,

Roles Data curation, Methodology, Validation, Writing – original draft

Affiliation School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China
⨯
Shaoqing Wang

Roles Data curation, Methodology, Validation, Writing – original draft

Affiliation School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China
⨯

An optimized GAN method based on the Que-Attn and contrastive learning for underwater image enhancement

Zeru Lan,
Bin Zhou,
Weiwei Zhao,
Shaoqing Wang

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Published: January 6, 2023
https://doi.org/10.1371/journal.pone.0279945

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