We propose a novel unsupervised backlit image enhancement method, abbreviated as CLIP-
LIT, by exploring the potential of Contrastive Language-Image Pre-Training (CLIP) for pixel …

Currently low-light conditions present a significant challenge for machine cognition. In this
paper rather than optimizing models by assuming that human and machine cognition are …

Low-light image enhancement techniques have significantly progressed, but unstable image
quality recovery and unsatisfactory visual perception are still significant challenges. To solve …

Images captured under low light conditions often suffer from various degradations. The
Retinex models are highly effective in enhancing low-light images. The analytical …

The surveillance images under backlit conditions is a potential and challenging research
problem in image processing and computer vision. Low contrast regions of interest of backlit …

Many image enhancement methods have been proposed to improve the visibility of backlit
images. Although these methods can effectively improve the visibility of the subject and …