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Dynamic Contrast Enhancement Algorithm

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 74 - Number 12
Year of Publication: 2013
Authors:
Amiya Halder
10.5120/12934-9879

Amiya Halder. Article: Dynamic Contrast Enhancement Algorithm. International Journal of Computer Applications 74(12):1-4, July 2013. Full text available. BibTeX

@article{key:article,
	author = {Amiya Halder},
	title = {Article: Dynamic Contrast Enhancement Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {74},
	number = {12},
	pages = {1-4},
	month = {July},
	note = {Full text available}
}

Abstract

This article describes a dynamic contrast enhancement technique to improve the visual quality of low contrast images. Also, this proposed algorithm is recovered the images from a blurred and darkness specimen of the given area of the images, and get better quality of the images. In this article, Image enhancement is performed using evolutionary algorithm (i. e. Genetic Algorithm). Here, a special type of sigmoid function is used for contrast enhancement. For the best match of this transformation function, genetic algorithm (GA) finds the optimum parameter value of the functions for image enhancement. Experimental result shows that the proposed method gives the better result in comparison to other conventional techniques.

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