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研究生： 吳炯德
Chiung-Te Wu
論文名稱： 植基於奇異值分解的半脆弱式浮水印技術
New Semi-Fragile Watermarking Scheme Based on Singular Value Decomposition
指導教授： 鍾國亮
Kuo-Liang Chung
口試委員: 賴榮滄
Zone-Chang Lai
陳世旺
Sei-Wang Chen
洪西進
Shi-Jinn Horng
古鴻炎
Hung-yan Gu
學位類別： 碩士
Master
系所名稱： 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
論文出版年： 2008
畢業學年度： 96
語文別： 中文
論文頁數： 31
中文關鍵詞： 奇異值分解 、浮水印 、JPEG 、盲式浮水印 、易碎式浮水印
外文關鍵詞： SVD, watermarking, JPEG, blind watermarking scheme, fragile watermarking scheme
相關次數： 點閱：286  下載：3 
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    • 近年來，由於資訊科技的快速發展，數位資料大量的產生。這使得數位資料的
    授權以及所有權越來越受重視，數位浮水印技術也因此成為相當熱門的研究。
    由於數位影像資料可以被JPEG壓縮，因此發展一個能夠抵抗JPEG壓縮的浮水
    印技術是必要的。本論文提出一個新的植基於奇異值分解(Singular Value
    Decomposition, SVD)的半脆弱式浮水印演算法，與Bao與Ma先前提出的演算
    法相較之下，擁有較佳的抗JPEG壓縮能力。在實驗的結果中，可以看到新的
    浮水印技術有著相當不錯的效果。此外，我們所提出的浮水印技術對於影像的
    竄改有很好的偵測能力。

    Recently, more and more data has been digitized for storage and network
    transmission. Thus, the authorization and ownership of digital data are more
    important than before and it leads the watermarking technique to become a popular research issue. Since digital images could be compressed by using the JPEG standard, how to develop a JPEG-resistant watermarking technique is necessary. Based on the singular vale decomposition (SVD), this thesis presents a new semi-fragile watermarking scheme with better robustness against the JPEG compression, when compared to the recently published result by Bao and Ma. Experimental results demonstrate that our proposed SVD-based semi-fragile watermarking scheme is encouraging. In addition, our proposed scheme has good capability to detect the tempering of the watermarked image.

    第一章 緒論.....................................1 第二章 相關研究結果介紹.........................4 2.1 Bao 與 Ma的浮水印演算法.....................4 2.2 Subsampling 介紹............................7 第三章 JPEG壓縮對SVD的影響......................9 3.1 SVD在JPEG壓縮後的變化.......................9 3.2 子影像區塊SVD係數平均值在JPEG壓縮後的變化...9 第四章 抗JPEG壓縮的浮水印演算法.................12 4.1 設計方向....................................12 4.2 浮水印嵌入演算法............................13 4.3 浮水印取出演算法............................16 第五章 實驗結果.................................18 5.1 實驗平台與評估方法..........................18 5.2 本論文提出的演算法實驗......................18 5.3 與其他演算法的比較..........................19 5.4 對影像處理的攻擊實驗........................23 第六章 結論.....................................28 參考文獻........................................30

    P. Bao and X. Ma, "Image adaptive watermarking using wavelet domain singular value decomposition," IEEE Trans. on Circuits and Systems for Video Technology, vol. 15, no. 1, pp. 96-102, Jan. 2005.
    C. C. Chang, P. Tsai, and C. C. Lin, "SVD-based digital image watermarking scheme," Pattern Recognition Letters. vol. 26, no. 10, pp. 1577-1586, July 2005.
    W. C. Chu, "DCT-Based image watermarking using subsampling," IEEE Trans. on Multimedia, vol. 5, no. 1, pp. 34-38, Mar. 2003.
    K. L. Chung, C. H. Shen, and L. C. Chang, "A novel SVD- and VQ- based image hiding scheme," Pattern Recognition Letters, vol. 22, no. 9, pp. 1051-1058, July 2001.
    K. L. Chung, W. N. Yang, Y. H. Huang, S. T. Wu, and Y. C. Hsu, "On SVD-based watermarking algorithm," Applied Mathematics and Computation, vol. 188, no. 1, pp. 54-57, May 2007.
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    I. J. Cox, J. Kilian, T. Leighton, and T. Shamoon, "Secure spread spectrum watermarking for multimedia," IEEE Trans. Image Process., vol. 6, no. 12, pp. 1673-1687, Dec. 1997.
    S. L. Li, K. C. Leung, L. M. Cheng, and C. K. Chan, "Data Hiding in images by adaptive LSB substitution based on the pixel-value differencing," Proceedings of the First International Conference on Innovative Computing, Information and Control, vol. 3, pp. 58-61, Aug. 2006.

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