DRGAN: Dense Residual Generative Adversarial Network for Image Enhancement in an Underwater Autonomous Driving Device

Underwater autonomous driving devices, such as autonomous underwater vehicles (AUVs), rely on visual sensors, but visual images tend to produce color aberrations and a high turbidity due to the scattering and absorption of underwater light. To address these issues, we propose the Dense Residual Gene...

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Detalles Bibliográficos
Autores principales: Qian, Jin, Li, Hui, Zhang, Bin, Lin, Sen, Xing, Xiaoshuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575376/
https://www.ncbi.nlm.nih.gov/pubmed/37837125
http://dx.doi.org/10.3390/s23198297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575376/
https://www.ncbi.nlm.nih.gov/pubmed/37837125
http://dx.doi.org/10.3390/s23198297

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