AI RESEARCH
BVI-Mamba: Video Enhancement Using a Visual State-Space Model for Low-Light and Underwater Environments
arXiv CS.CV
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ArXi:2604.23655v1 Announce Type: new Videos captured in low-light and underwater conditions often suffer from distortions such as noise, low contrast, color imbalance, and blur. These issues not only limit visibility but also degrade automatic tasks like detection. Post-processing is typically required but can be time-consuming. AI-based tools for video enhancement also demand significantly computational resources compared to image-based methods. This paper