Data hiding domain classification for blind image steganalysis

Guo Shiang Lin*, Chia H. Yeh, C. C.Jay Kuo

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

10 引文 斯高帕斯(Scopus)

摘要

A statistical feature-based scheme is proposed to identify the data hiding domain of an embedded signal in this research. Two phenomena are observed for images before and after data hiding. First, the gradient energy increases as the continuity of gray levels between adjacent pixels is disturbed by the embedded signal. Second, the statistical variance of the coefficient distribution in macro-blocks tends to decrease after data hiding. These phenomena are analyzed mathematically. Then, statistical features in the pixel, DCT, and DWT domains are extracted and a maximum likelihood ratio test is adopted to solve the hiding domain classification problem. The proposed scheme has demonstrated good classification results.

原文英語
主出版物標題2004 IEEE International Conference on Multimedia and Expo (ICME)
頁面907-910
頁數4
出版狀態已發佈 - 2004
對外發佈
事件2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, 臺灣
持續時間: 2004 六月 272004 六月 30

出版系列

名字2004 IEEE International Conference on Multimedia and Expo (ICME)
2

會議

會議2004 IEEE International Conference on Multimedia and Expo (ICME)
國家/地區臺灣
城市Taipei
期間2004/06/272004/06/30

ASJC Scopus subject areas

  • 工程 (全部)

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