Underwater Image Enhancement Based on Generative Adversarial Networks

Underwater Image Enhancement Based on Generative Adversarial Networks

This paper proposes an underwater image correction and enhancement algorithm based on generative adversarial networks. In this algorithm, the multi-scale kernel is applied to the improved residual module to construct a generator, which realizes the extraction and fusion of multiple receptive fields...

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Bibliographic Details
Main Author: LI Yu, YANG Daoyong, LIU Lingya, WANG Yiyin
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2022-02-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
underwater image enhancement
generative adversarial networks
residual structure
unsupervised learning
Online Access:http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-2-134.shtml

Internet

http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-2-134.shtml

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