Real-world low-light image enhancement via domain-gap aware framework and reverse domain-distance guided strategy

Real-world low-light image enhancement via domain-gap aware framework and reverse domain-distance guided strategy

Low-light image enhancement (LLIE) has high practical value and development potential in real scenarios. However, the current LLIE methods reveal inferior generalization competence to real-world low-light (LL) conditions of poor visibility. We can attribute this phenomenon to the severe domain bias...

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Bibliographic Details
Main Authors: Yong Chen, Meiyong Huang, Huanlin Liu, Kaixin Shao, Jinliang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Physics
Subjects:
real-world low-light image enhancement
domain-gap aware framework
domain adaptation
reverse domain-distance guided strategy
adversarial training
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2023.1147031/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2023.1147031/full

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