Underwater image enhancement by combining multi-attention with recurrent residual convolutional U-Net

Shuqi Wang; Zhixiang Chen; Hui Wang

doi:10.1007/s11760-023-02985-2

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Underwater image enhancement by combining multi-attention with recurrent residual convolutional U-Net

Shuqi Wang Zhixiang Chen Hui Wang

Year: 2024 Journal: Signal Image and Video Processing Vol: 18 (4)Pages: 3229-3241 Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-023-02985-2

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Keywords:

Residual Underwater Net (polyhedron) Computer science Convolutional neural network Environmental science Artificial intelligence Mathematics Algorithm Geology Oceanography

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Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Underwater image enhancement by combining multi-attention with recurrent residual convolutional U-Net

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Citation History

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