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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95945

    Title: Semi-Fragile Image Watermarking using Zernike Moment and Fuzzy C-Means
    Authors: Hsieh, Ching-Tang;Wu, Yeh-Kuang;Hsu, Chih-Hsu
    Contributors: 淡江大學電機工程學系
    Date: 2006-10
    Issue Date: 2014-02-13 11:24:52 (UTC+8)
    Abstract: 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 multi-rings Zernike transform (MRZT) is proposed to achieve geometric invariance based on the fuzzy C-means and Zernike moment. The MRZT method is to the geometric distortions even when the image is under malicious attacks. Experimental results show that this algorithm can resist high quality JPEG compression, and improve the detection performance of various malicious tampering.
    Relation: Proceedings of 9th Joint Conference on Information Sciences,4頁
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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