Litcius/Paper detail

U<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math>R-pGAN: Unpaired underwater-image recovery with polarimetric generative adversarial network

Pengfei Qi, Xiaobo Li, Yilin Han, Liping Zhang, Jianuo Xu, Zhenzhou Cheng, Tiegen Liu, Jingsheng Zhai, Haofeng Hu

2022Optics and Lasers in Engineering50 citationsDOI

Topics & Concepts

Computer scienceUnderwaterArtificial intelligencePolarimetryAlgorithmScatteringPhysicsOpticsGeologyOceanographyImage Enhancement TechniquesOptical Coherence Tomography ApplicationsOptical measurement and interference techniques
U<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math>R-pGAN: Unpaired underwater-image recovery with polarimetric generative adversarial network | Litcius