SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images-Reference-Cited by-同舟云学术

SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Wen Junjie¹,Cui Jinqiang²,Zhao Zhenjun¹,Yan Ruixin¹,Gao Zhi³,Dou Lihua⁴,Chen Ben M.¹

Affiliation:

1. Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin,N.T.,Hong Kong

2. Peng Cheng Laboratory,Department of Mathematics and Theories,Shen-zhen,China

3. School of Remote Sensing and Information Engineering, Wuhan University,Wuhan,China

4. School of Automation, Beijing Institute of Technology,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161531.pdf?arnumber=10161531

Reference45 articles.

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3. Two-step domain adaptation for underwater image enhancement

4. Image Quality Assessment: From Error Visibility to Structural Similarity

5. Classification of sea water in terms of quanta irradiance

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