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 …

As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC)
was previously proposed by relating gamma parameter with cumulative distribution function …

A novel approach for paired and unpaired image enhancement is proposed in this work.
First, we develop global enhancement network (GEN) and local enhancement network …

Image enhancement is an inherently subjective process since people have diverse
preferences for image aesthetics. However, most enhancement techniques pay less …

In recent years, learning-based color and tone enhancement methods for photos have
become increasingly popular. However, most learning-based image enhancement methods …

Image quality assessment (IQA) plays an important role in digital image forensics. Due to the
occurrence of contrast distortion during image acquisition and manipulation, IQA for contrast …

We propose an efficient low-light image enhancement algorithm based on an optimization-
based approach for gamma correction parameter estimation. We first separate an input color …

Low-light image enhancement (LLIE) can improve the visibility of low-light images. Low-light
images exhibit a series of visual degradation, such as decreased visibility, low contrast, and …

Early detection of breast cancer can enhance the chances of survival. Contrast
enhancement provides improved visual information that can be used for accurate …

Automatic vision-based defect detection on the steel surface is a challenging task due to
miscellaneous patterns of defects, low contrast between the defect and the background, and …