COC-UFGAN: Underwater image enhancement based on color opponent compensation and dual-subnet underwater fusion generative adversarial network-Reference-Cited by-同舟云学术

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COC-UFGAN: Underwater image enhancement based on color opponent compensation and dual-subnet underwater fusion generative adversarial network

Published:2024-04 Issue: Volume:100 Page:104101
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Liu Zhenkai,Fu Xinxiao,Lin Chi,Xu Haiyong

Publisher

Elsevier BV

Reference60 articles.

1. A kriged compressive sensing approach to reconstruct acoustic fields from measurements collected by underwater vehicles;Sun;IEEE J. Ocean. Eng.,2021

2. Underwater image enhancement quality evaluation: benchmark dataset and objective metric;Jiang;IEEE Trans. Circuits Syst. Video Technol.,2022

3. A perception-aware decomposition and fusion framework for underwater image enhancement;Kang;IEEE Transactions on Circuits and Systems for Video Technology,2022

4. No-reference quality assessment of underwater image enhancement;Yi;Displays,2023

5. Lightweight deep neural network for joint learning of underwater object detection and color conversion;Yeh;IEEE Trans. Neur. Net. Lear.,2021

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