教師資料查詢 | 類別: 期刊論文 | 教師: 陳建彰 Chen, Chien-chang (瀏覽個人網頁)

標題: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
語言英文
ISSN1349-4198
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
出版型式,紙本
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!