Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …

Image captured under poor-illumination conditions often display attributes of having poor
contrasts, low brightness, a narrow gray range, colour distortions and considerable …

Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing
low-contrast and weak-visibility problems of single RGB images. In this paper, we respond to …

Images captured under low-light conditions are typically prone to undesirable visual
phenomena, particularly color distortion and additive noise, that impede the aesthetics and …

In this paper, we propose a physics-inspired contrastive learning paradigm for low-light
enhancement, called PIE. PIE primarily addresses three issues:(i) To resolve the problem of …

Low-illumination images are usually taken in non-uniform environmental light, such as
extremely dark or bright light or artificial light. The enhancement results achieved by existing …

Recently, low-light image enhancement has attracted much attention. However, some
problems still exist. For instance, sometimes dark regions are not fully improved, but bright …

Evaluating the performance of low-light image enhancement (LLE) is highly subjective, thus
making integrating human preferences into image enhancement a necessity. Existing …

The aim of this paper is to present a transform-based framework for color image
enhancement which processes all three color components (R, G, B) simultaneously. In this …

Low-light images incur several complicated degradations such as low brightness, poor
contrast, and higher noise. Retinex theory, which decomposes a low-light image into …