Underwater Variable Zoom-Depth-Guided Perception Network for Underwater Image Enhancement

arXiv:2404.17883v1 Announce Type: new
Abstract: Underwater scenes intrinsically involve degradation problems owing to heterogeneous ocean elements. Prevailing underwater image enhancement (UIE) methods stick to straightforward feature modeling to learn the mapping function, which leads to limited vision gain as it lacks more explicit physical cues (e.g., depth). In this work, we investigate injecting the depth prior into the deep UIE model for more precise scene enhancement capability. To this end, we present a novel depth-guided perception UIE framework, dubbed underwater …

arxiv cs.cv image network perception type underwater zoom