A GA-based Nearly Optimal Image Authentication Approach
學年 95
學期 2
出版（發表）日期 2007-06-01
作品名稱 A GA-based Nearly Optimal Image Authentication Approach
作品名稱（其他語言）
著者 Chen Chien-chang; Lin Cheng-shian
單位 淡江大學資訊工程學系
出版者 Kumamoto: ICIC International
著錄名稱、卷期、頁數 International Journal of Innovative Computing, Information and Control 3(3), pp.631-640
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.
關鍵字 Genetic algorithm (GA);Image authentication
語言 en
ISSN 1349-4198
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 JPN
公開徵稿
出版型式 ,紙本
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