Varying scene illumination poses many challenging problems for machine vision systems.
One such issue is developing global enhancement methods that work effectively across the …

Image enhancement is the task of applying certain transformations to an input image such
as to obtain a visually more pleasant, more detailed, or less noisy output image. The …

Image contrast enhancement and brightness preservation are fundamental requirements for
many vision based applications. However, these are two conflicting objectives when the …

In this paper, we describe a technique to automatically enhance the perceptual quality of an
image. Unlike previous techniques, where global statistics of the image are used to …

The enhancement of non-uniformly illuminated images often suffers from over-enhancement
and produces unnatural results. This paper presents a naturalness preserved enhancement …

In real scenes, due to the problems of low light and unsuitable views, the images often
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …

Image enhancement by histogram equalization reduces the number of gray levels that lead
to information loss and unnatural appearance. This paper aims to improve the contrast and …

Among image enhancement methods, histogram equalization (HE) has received the most
attention because of its intuitive implementation quality, high efficiency, and the monotonicity …

This paper proposes two exposure based recursive histogram equalization methods for
image enhancement. The proposed methods are very effective for images acquired in low …

Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. Although many image enhancement techniques have been …