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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| 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 |