An optimized GAN method based on the Que-Attn and contrastive learning for underwater image enhancement

Research on underwater image processing has increased significantly in the past decade due to the precious resources that exist underwater. However, it is still a challenging problem to restore degraded underwater images. Existing prior-based methods show limited performance in many cases due to the...

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Detalles Bibliográficos
Autores principales: Lan, Zeru, Zhou, Bin, Zhao, Weiwei, Wang, Shaoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821782/
https://www.ncbi.nlm.nih.gov/pubmed/36607967
http://dx.doi.org/10.1371/journal.pone.0279945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821782/
https://www.ncbi.nlm.nih.gov/pubmed/36607967
http://dx.doi.org/10.1371/journal.pone.0279945

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