Adaptive Adjustment factor in Image Enhancement Technique using Particle Swarm Optimization with Aging Leader and Challengers (ALC-PSO)

Abstract

The process of converting an image and performing some operations on it is known as image processing. The application of Image processing include: Image Enhancement. Image enhancement is a process of transforming an image and enhancing its quality in order to take out some important information from it. The image enhancement process can be done by an optimization technique like Particle Swarm Optimization method, which is a search technique used to find the best solutions out of several possible ones. The PSO technique can be efficiently used by taking the objective function for image enhancement as the fitness value for every particle image. This paper presents an overview of image enhancement techniques based on the use of Particle Swarm Optimization. The limitation of static adjustment factor is removed by using Particle Swarm Optimization with Aging Leader and Challengers (ALC-PSO). A new algorithm of image enhancement using ALC-PSO has been proposed, which will adaptively find the adjustment factor for the efficient performance of the process of image enhancement.