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

Qian, Jin; Li, Hui; Zhang, Bin; Lin, Sen; Xing, Xiaoshuang

Qian, Jin; Li, Hui; Zhang, Bin; Lin, Sen; Xing, Xiaoshuang.

Afiliación

Qian J; College of Information Engineering, Taizhou University, Taizhou 225300, China.
Li H; College of Information Engineering, Taizhou University, Taizhou 225300, China.
Zhang B; College of Information Engineering, Taizhou University, Taizhou 225300, China.
Lin S; School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang 110159, China.
Xing X; School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215506, China.

Sensors (Basel) ; 23(19)2023 Oct 07.

Article en En | MEDLINE | ID: mdl-37837125

Palabras clave

deep learning; generative adversarial network; underwater autonomous driving device; underwater image enhancement

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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