In the consumer electronics field, the main challenge in image processing is to preserve the
original brightness. Histogram Equalization (HE) is one of the simplest and widely used …

Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

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 …

In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …

Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …

The two major groups representing biologically inspired algorithms are swarm intelligence
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …

This article introduces a novel optimally selected plateau limit (PL)-based histogram
modification framework. This approach preserves the brightness and improves the contrast …

The traditional incomplete Beta function has low parameter selection efficiency in image
enhancement, and the adjustable range of parameters is small when stretching the area …

Nature-inspired optimization algorithms are simple and effective tools for solving highly non-
linear and multi-modal real-world problems. Nowadays this kind of methods is very attractive …

Image contrast enhancement is a prerequisite and plays a very important role in many
image processing field like medical imaging, face recognition, computer-vision, and satellite …