A GA-based Nearly Optimal Image Authentication Approach

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Title:	A GA-based Nearly Optimal Image Authentication Approach
Authors:	Chen Chien-chang;Lin Cheng-shian
Contributors:	淡江大學資訊工程學系
Keywords:	Genetic algorithm (GA);Image authentication
Date:	2007-06
Issue Date:	2013-06-07 10:47:29 (UTC+8)
Publisher:	Kumamoto: ICIC International
Abstract:	In this paper, we present how to find nearly optimal positions for embedding authentication message by Genetic Algorithm (GA), so as to achieve high quality protected image in image authentication problem. Correlations between important DCT coefficients and user defined thresholds constitute the image authentication message. The embedding positions are simulated as chromosomes and we use GA operators, such as reproduction, crossover, and mutation to find nearly optimal embedding positions. Experimental results demonstrate that GA can improve the image quality of protected image effectively.
Relation:	International Journal of Innovative Computing, Information and Control 3(3), pp.631-640
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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