End-To-End Underwater Video Enhancement: Dataset and Model

arXiv:2403.11506v1 Announce Type: new
Abstract: Underwater video enhancement (UVE) aims to improve the visibility and frame quality of underwater videos, which has significant implications for marine research and exploration. However, existing methods primarily focus on developing image enhancement algorithms to enhance each frame independently. There is a lack of supervised datasets and models specifically tailored for UVE tasks. To fill this gap, we construct the Synthetic Underwater Video Enhancement (SUVE) dataset, comprising 840 diverse underwater-style videos paired with ground-truth reference …

arxiv cs.ai cs.cv dataset type underwater video