Unsupervised Low-Light Image Enhancement Based on Generative Adversarial Network

Low-light image enhancement aims to improve the perceptual quality of images captured under low-light conditions. This paper proposes a novel generative adversarial network to enhance low-light image quality. Firstly, it designs a generator consisting of residual modules with hybrid attention module...

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Detalles Bibliográficos
Autores principales: Yu, Wenshuo, Zhao, Liquan, Zhong, Tie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297228/
https://www.ncbi.nlm.nih.gov/pubmed/37372276
http://dx.doi.org/10.3390/e25060932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297228/
https://www.ncbi.nlm.nih.gov/pubmed/37372276
http://dx.doi.org/10.3390/e25060932

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