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More Than Lightening:A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations

Han Xu Jiayi Ma Yixuan Yuan Hao Zhang Xin Tian Xiaojie Guo

自动化学报（英文版）2024，Vol.11Issue(3)：622-637,16.

自动化学报（英文版）2024，Vol.11Issue(3)：622-637,16.DOI:10.1109/JAS.2024.124263

More Than Lightening:A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations

Han Xu ¹Jiayi Ma ¹Yixuan Yuan ²Hao Zhang ¹Xin Tian ¹Xiaojie Guo³

作者信息

1. Elec-tronic Information School,Wuhan University,Wuhan 430072,China
2. Department of Electronic Engineering,Chi-nese University of Hong Kong,Hong Kong 999077,China
3. College of Intelligence and Computing,Tianjin Univer-sity,Tianjin 300350,China
折叠

摘要

关键词

Color correction/low-light image enhancement/self-supervised learning

Key words

Color correction/low-light image enhancement/self-supervised learning

引用本文复制引用

Han Xu,Jiayi Ma,Yixuan Yuan,Hao Zhang,Xin Tian,Xiaojie Guo..More Than Lightening:A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations[J].自动化学报（英文版）,2024,11(3):622-637,16.

基金项目

This work was supported by the National Natural Science Foundation of China(62276192). （62276192）

自动化学报（英文版）

OA北大核心CSTPCD

ISSN：2329-9266

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