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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Autors principals:	Jin Qian, Hui Li, Bin Zhang, Sen Lin, Xiaoshuang Xing
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-10-01
Col·lecció:	Sensors
Matèries:	deep learning underwater autonomous driving device underwater image enhancement generative adversarial network
Accés en línia:	https://www.mdpi.com/1424-8220/23/19/8297
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