Due to the limitations of image-capturing devices or the presence of a non-ideal
environment, the quality of digital images may get degraded. In spite of much advancement …

Today, face recognition is a technology that has been widely applied to various purposes,
especially related to the image. Examples of the use of face recognition include face …

Histogram-based methods have been proven their ability in image enhancement. To
improve low contrast while preserving details and high brightness in near-infrared images, a …

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 …

Traditional image enhancement techniques produce different types of noise such as
unnatural effects, over-enhancement, and artifacts, and these drawbacks become more …

Skin cancer occurs due to the abnormal development of the skin cells. It is extremely
important to identify this change in skin cells as soon as possible otherwise it is harmful to …

Contrast enhancement is a crucial aspect of image processing, as it improves visual quality
by adjusting the brightness and contrast of an image. This paper comprehensively explores …

Abstract In 2011, Food and Drug Administration (FDA or USFDA) certified the automated cell
morphology (ACM) systems for medical use in USA. The brightness, contrast and color …

A novel image enhancement approach called entropy‐based adaptive subhistogram
equalization (EASHE) is put forward in this paper. The proposed algorithm divides the …

Despite lots of effort being exerted in designing feature descriptors, it is still challenging to
find generalized feature descriptors, with acceptable discrimination ability, which are able to …