LLIE_Survey
This paper conducts an extensive survey on low-light image and video enhancement, describing advanced techniques and presenting datasets like SICE_Grad, SICE_Mix for complex scenarios, and Night Wenzhou for diverse aerial views. It addresses recent updates, including key revisions, improved images, and metric scripts to support research and application. Covering progress from traditional to deep learning methods, it provides downloadable datasets and benchmark references. The list of models and experiments showcases the developments in this field, serving as a crucial resource for understanding or improving low-light conditions in digital imagery.
