淡江大學機構典藏:Item 987654321/59919
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    题名: A GA-based Nearly Optimal Image Authentication Approach
    作者: Chen Chien-chang;Lin Cheng-shian
    贡献者: 淡江大學資訊工程學系
    关键词: Genetic algorithm (GA);Image authentication
    日期: 2007-06
    上传时间: 2013-06-07 10:47:29 (UTC+8)
    出版者: Kumamoto: ICIC International
    摘要: 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.
    關聯: International Journal of Innovative Computing, Information and Control 3(3), pp.631-640
    显示于类别:[資訊工程學系暨研究所] 期刊論文

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