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Underwater imaging often suffers from low quality due to factors affecting light propagation and absorption in water.
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Q. Hou, D. Zhou and J. Feng, Coordinate Attention for Efficient Mobile Network Design," 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 2021
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T. Ren et al., Reinforced Swin-Convs Transformer for Simultaneous Underwater Sensing Scene Image Enhancement and Super-resolution," IEEE Transactions on Geoscience and Remote Sensing
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2024
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A. Pramanick, S. Sarma and A. Sur, X-CAUNET: Cross-Color Channel Attention with Underwater Image-Enhancing Transformer," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024
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B. Wang et al., UIE-Convformer: Underwater Image Enhancement Based on Convolution and Feature Fusion Transformer," IEEE Transactions on Emerging Topics in Computational Intelligence
2024
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