RUC-GAN: generative adversarial network with ResUNet++ and convolutional block attention module for underwater image enhancement

Jiaxuan Liu; Hongying Liu

doi:10.1117/1.jei.34.4.043004

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RUC-GAN: generative adversarial network with ResUNet++ and convolutional block attention module for underwater image enhancement

Jiaxuan Liu Hongying Liu

Year: 2025 Journal: Journal of Electronic Imaging Vol: 34 (04) Publisher: SPIE

DOI: 10.1117/1.jei.34.4.043004

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Keywords:

Computer science Generative adversarial network Block (permutation group theory) Artificial intelligence Adversarial system Image processing Computer vision Convolutional neural network Image (mathematics) Mathematics

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Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

RUC-GAN: generative adversarial network with ResUNet++ and convolutional block attention module for underwater image enhancement

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