Geometric invariant semi-fragile image watermarking using real symmetric matrix

被引:0
|
作者
Hsieh, Ching-Tang [1 ]
Wu, Yeh-Kuang [1 ]
Hung, Kuo-Ming [2 ]
机构
[1] Department of Electrical Engineering, Tamkang University, Tamsui 251, Taiwan
[2] Department of Information Management, Kainan University, Taoyuan 338, Taiwan
来源
Tamkang Journal of Science and Engineering | 2007年 / 10卷 / 03期
关键词
Computational geometry - Eigenvalues and eigenfunctions - Image analysis - Invariance - Mathematical transformations - Matrix algebra - Real time systems;
D O I
暂无
中图分类号
学科分类号
摘要
In order to improve the detection of malicious tampering of images, it is necessary to decrease the fragility of hidden watermarks, even for digital images which have been distorted incidentally. However, watermarks are sensitive to geometric distortions. In this paper, we propose a new invariant semi-fragile digital watermarking technique based on eigenvalues and eigenvectors of a real symmetric matrix generated by the four pixel-pair. And the multi-rings Zemike transform (MRZT) is proposed to achieve geometric invariance. A signature bit for detecting malicious tampering of an image is generated using the dominant eigenvector. The MRZT method is against the geometric distortions even when the image is under malicious attacks. The experimental results show that this algorithm can resist high quality JPEG compression, and improve the detection performance of various malicious tampering.
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页码:211 / 220
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