Author

Ruo-Chen Shi

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Open access Sep 2026

Wavelet transform vision state space model for underwater image enhancement

Underwater image enhancement technology is crucial for improving the visual quality of marine target detection, robot navigation and biological research. However, underwater images often suffer from severe color distortion, reduced contrast and blurred details due to complex optical effects such as water absorption, sc...

Ruo-Chen Shi, Yu-Feng Li, Kang Liu et al. · Signal, Image and Video Proc... · 0 citations

Open access Oct 2026

Rethinking underwater image enhancement via a hybrid Mamba–transformer network

Underwater imaging is simultaneously affected by non-uniform illumination and multi-path light scattering, often resulting in severe degradations such as color distortion, contrast reduction, and detail blurring. These degradations substantially hinder the performance of high-level vision tasks, including underwater...

Yu-Feng Li, Ruo-Chen Shi, Chuan-Long Xie · Scientific Reports · 0 citations