AI RESEARCH
Hero-Mamba: Mamba-based Dual Domain Learning for Underwater Image Enhancement
arXiv CS.CV
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ArXi:2604.16266v1 Announce Type: new Underwater images often suffer from severe degradation, such as color distortion, low contrast, and blurred details, due to light absorption and scattering in water. While learning-based methods like CNNs and Transformers have shown promise, they face critical limitations: CNNs struggle to model the long-range dependencies needed for non-uniform degradation, and Transformers incur quadratic computational complexity, making them inefficient for high-resolution images.