Underwater image enhancement via LBP‐based attention residual network-Reference-Cited by-同舟云学术

Underwater image enhancement via LBP‐based attention residual network

Published:2021-09-21 Issue:1 Volume:16 Page:158-175
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Huang ZhiXiong¹²^ORCID,Li Jinjiang³^ORCID,Hua Zhen¹²^ORCID

Affiliation:

1. School of Information and Electronic Engineering Shandong Technology and Business University Yantai China

2. Institute of Network Technology, ICT(YANTAI) Yantai China

3. Co‐innovation Center of Shandong Colleges and Universities: Future Intelligent Computing Yantai China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12341

Reference57 articles.

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4. Fabbri C. Islam M.J. Sattar J.:Enhancing underwater imagery using generative adversarial networks. In:2018 IEEE International Conference on Robotics and Automation pp. 7159–7165.IEEE Piscataway(2018)

5. Underwater image enhancement using color channel compensation by backscatter light and superpixel dark channel prior;Lee H.S.;J. Inst. Electron. Inf. Eng,2020

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