A Statistical Approach for Ownership Identification of Digital Images
學年 95
學期 1
出版(發表)日期 2006-09-01
作品名稱 A Statistical Approach for Ownership Identification of Digital Images
作品名稱(其他語言)
著者 Hsu, Ching-sheng; Tu, Shu-fen; Hou, Young-chang
單位 淡江大學資訊管理學系
出版者 Berlin Heidelberg : Springer-Verlag GmbH
著錄名稱、卷期、頁數 Lecture Notes in Computer Science 4179, pp.666-674
摘要 In this paper, we propose an ownership identification scheme for digital images with binary and gray-level ownership statements. The proposed method uses the theories and properties of sampling distribution of means to satisfy the requirements of robustness and security. Essentially, our method will not really insert the ownership statement into the host image. Instead, the ownership share will be generated by the sampling method as a key to reveal the ownership statement. Besides, our method allows ownership statements to be of any size and avoids the hidden ownership statement to be destroyed by the latter ones. When the rightful ownership of the image needs to be identified, our method can reveal the ownership statement without resorting to the original image. Finally, several common attacks to the image will be held to verify the robustness and the security is also analyzed.
關鍵字
語言 en
ISSN 0302-9743
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者
審稿制度
國別 DEU
公開徵稿
出版型式 紙本
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