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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59919


    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
    DOI: 
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

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