Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network

arXiv:2308.05404v3 Announce Type: replace
Abstract: This paper presents a novel and interpretable end-to-end learning framework, called the deep compensation unfolding network (DCUNet), for restoring light field (LF) images captured under low-light conditions. DCUNet is designed with a multi-stage architecture that mimics the optimization process of solving an inverse imaging problem in a data-driven fashion. The framework uses the intermediate enhanced result to estimate the illumination map, which is then employed in the unfolding process to produce a new enhanced result. …

arxiv compensation cs.cv eess.iv images light low network replace type