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Mathematical Problems in Engineering
Volume 2014, Article ID 232796, 11 pages
Research Article

Natural Image Enhancement Using a Biogeography Based Optimization Enhanced with Blended Migration Operator

1Department of Electrical Engineering, Anna University, Regional Centre, Coimbatore, Tamil Nadu 641047, India
2Department of Computer Science and Engineering, Jayamatha Engineering College, Aralvaimozhi, Tamil Nadu 629301, India
3Department of Computer Science and Engineering, Ponjesly College of Engineering, Nagercoil, Tamil Nadu 629003, India

Received 23 November 2013; Accepted 6 February 2014; Published 17 March 2014

Academic Editor: Anand Paul

Copyright © 2014 J. Jasper et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper addresses a novel and efficient algorithm for solving optimization problem in image processing applications. Image enhancement (IE) is one of the complex optimization problems in image processing. The main goal of this paper is to enhance color images such that the eminence of the image is more suitable than the original image from the perceptual viewpoint of human. Traditional methods require prior knowledge of the image to be enhanced, whereas the aim of the proposed biogeography based optimization (BBO) enhanced with blended migration operator (BMO) algorithm is to maximize the objective function in order to enhance the image contrast by maximizing the parameters like edge intensity, edge information, and entropy. Experimental results are compared with the current state-of-the-art approaches and indicate the superiority of the proposed technique in terms of subjective and objective evaluation.