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

J. Jasper, S. Berlin Shaheema, S. Berlin Shiny
<span title="">2014</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
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
more &raquo; ... sed 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/232796">doi:10.1155/2014/232796</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7jcdi3syqraltjeq3r3ok3keyq">fatcat:7jcdi3syqraltjeq3r3ok3keyq</a> </span>
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