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 …

This paper presents a new contrast enhancement approach which is based on Cuckoo
Search (CS) algorithm and DWT-SVD for quality improvement of the low contrast satellite …

The shifting of image mean brightness and the domination of high-frequency bins during
histogram equalization (HE) often result in the deteriorating quality of enhanced images and …

This letter addresses the problem of generating a super-resolution (SR) image from a single
low-resolution (LR) input image in the wavelet domain. To achieve a sharper image, an …

This paper proposes a new image enhancement algorithm. At first, the paper uses the
combination of rough set and particle swarm optimization (PSO) algorithm to distinguish the …

Moving object detection is a fundamental task and extensively used research area in
modern world computer vision applications. Background subtraction is one of the widely …

A new approach based on Bi-Histogram Equalization is presented to enhance grayscale
images. The proposed Adaptive Image Enhancement based on Bi-Histogram Equalization …

Synthetic aperture radar (SAR) imagery can provide useful information in a multitude of
applications, including climate change, environmental monitoring, meteorology, high …

This paper puts forward a novel image enhancement method via Mean and Variance based
Subimage Histogram Equalization (MVSIHE), which effectively increases the contrast of the …