Towards Real-Time Advancement of Underwater Visual Quality With GAN

Low visual quality has prevented underwater robotic vision from a wide range of applications. Although several algorithms have been developed, real time and adaptive methods are deficient for real-world tasks. In this paper, we address this difficulty based on generative adversarial networks (GAN),...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) 2019-12, Vol.66 (12), p.9350-9359
Hauptverfasser: Chen, Xingyu, Yu, Junzhi, Kong, Shihan, Wu, Zhengxing, Fang, Xi, Wen, Li
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Sprache:eng
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