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Semi-fragile Image Watermarking Using Zernike Moment and Fuzzy C-Means
2006
Proceedings of the 9th Joint Conference on Information Sciences (JCIS)
In order to improve the detection of malicious tampering images, it is necessary to decrease the fragility of hidden watermarks, even for digital images which have been incidentally distorted. In this paper, we propose a new invariant semi-fragile digital watermarking technique based on eigenvalues and eigenvectors of real symmetric matrix generated by the four pixel pairs. A signature bit for detecting the malicious tampering of an image is generated using the dominant eigenvector. And the
doi:10.2991/jcis.2006.304
dblp:conf/jcis/Wu06
fatcat:iwmm7mh6jrgqdorbyi35mekhzi