UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement

arXiv:2404.14542v1 Announce Type: new
Abstract: Learning-based underwater image enhancement (UIE) methods have made great progress. However, the lack of large-scale and high-quality paired training samples has become the main bottleneck hindering the development of UIE. The inter-frame information in underwater videos can accelerate or optimize the UIE process. Thus, we constructed the first large-scale high-resolution underwater video enhancement benchmark (UVEB) to promote the development of underwater vision.It contains 1,308 pairs of video sequences and more than 453,000 high-resolution with 38\% …

abstract arxiv become benchmark cs.cv development however image information process progress quality samples scale training type underwater video videos world