Potholes pose a significant problem for road safety and infrastructure. They can cause
damage to vehicles and present a risk to pedestrians and cyclists. The ability to detect …

Low-light image enhancement (LLIE) investigates how to improve illumination and produce
normal-light images. The majority of existing methods improve low-light images via a global …

As a critical preprocessing technique, low-illumination image enhancement has a wide
range of practical applications. It aims to improve the visual perception of a given image …

Recovering noise-covered details from low-light images is challenging, and the results given
by previous methods leave room for improvement. Recent diffusion models show realistic …

Low light enhancement has gained increasing importance with the rapid development of
visual creation and editing. However, most existing enhancement algorithms are designed …

Images captured under low-light conditions usually have poor visual quality, and hence
greatly reduce the accuracy of subsequent tasks such as image segmentation and detection …

Low-light images often suffer from information loss and RGB value degradation due to
extremely low or nonuniform lighting conditions. Many existing methods primarily focus on …

Low-light image enhancement aims to improve the perceptual quality of images captured in
conditions of insufficient illumination. However, such images are often characterized by low …

The low-light image enhancement is a challenging and hot research issue in the image
processing field. In order to enhance the quality of low-light images to obtain full structure …

Current deep learning-based low-light image enhancement methods often struggle with
high-resolution images, and fail to meet the practical demands of visual perception across …