In this paper, a novel krill herd (KH) based optimized contrast and sharp edge enhancement
framework is introduced for medical images. Plateau limit and fitness function are proposed …

Low light image enhancement algorithms intent to produce visually pleasant images and
target to extract valuable information for computer vision applications. The task of improving …

Medical imaging is playing a pivotal role in the domain of medical diagnosis. But the major
problems related to medical images is that most of the images (of different modalities) are …

This paper presents two CNN-based systems for unsupervised image enhancement under
non-uniform illumination. The core of the systems is constituted by the difference of a pair of …

Contrast enhancement plays a vital role in image processing and computer vision
applications. However, the existing work inevitably introduces some unwanted artifacts and …

The quality of satellite images is frequently degraded by the low-contrast effect. Therefore,
different research works have been developed to deal with this undesirable effect. Still, no …

Image enhancement has a fundamental piece in digital image processing. Images like
satellite images, aeronautical images, oceanography images, medical images and real-life …

The usual problems associated with image enhancement include over-and under-
enhancement, halo effects at edges and the degradation of the signal-to-noise ratio as the …

Histogram equalization (HE) is a well-established method for image contrast enhancement
due to its simplicity and effectiveness. However, it suffers from three main shortcomings, ie …

Image enhancement is a fundamental prerequisite for every computer vision program that
intends to process an image further. When applied to practically undetectable photos, one of …