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J4  2009, Vol. 43 Issue (11): 2017-2022    DOI: 10.3785/j.issn.1008-973X.2009.11.013
自动化技术、计算机技术     
基于脊波变换的量化水印算法
胡裕峰1,2,朱善安1
(1.浙江大学 电气工程学院,浙江 杭州 310027; 2.南昌供电公司,江西 南昌 330006)
Ridgelet transform based quantitative watermarking algorithm
HU Yu-feng1,2, ZHU Shan-an1
(1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
2.Nanchang Power Supply Company, Nanchang 330006, China)
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摘要:

利用比小波变换域更适合表示图像边缘轮廓特征的脊波变换域设计一种新的图像水印算法.将图像分块脊波变换,在脊波系数最大能量方向选择细节系数,设计合理的量化水印方法.采用奇偶量化方法嵌入水印,利用归属量化区间法提取水印.在较强的攻击下,该方法能够很好地恢复原始水印,采用该方法嵌入水印不易导致水印化图像失真.攻击实验结果表明,与小波域水印算法相比,该算法不仅可以较好地抵抗各种常见攻击如压缩、加噪、滤波和剪切等,还能较好地抵抗几何旋转攻击.

Abstract:

A novel image watermarking algorithm was designed by taking the advantage that the ridgelet transform domain is a more suitable representation of images outline edge features than the wavelet transform domain. First, images were divided block by block, and each block was treated by finite ridgelet transform. Second, the direction of the largest energy of ridgelet transform coefficients was found for each block. At last, a reasonable quantitative watermarking method was used to the coefficients for embedding watermark in the largest energy direction. Odd-even quantitative method was used to embed watermark, and quantitative section attributive method was used to extract the original watermark. The watermark extraction method can efficiently restore the original watermark even if suffered terrible attack. The embed watermark in the ridgelet transform domain can ensure the fidelity of the covered image. Attack experiment results show that compared to the wavelet transform domain watermarking algorithm, the proposed algorithm can not only resist the common attacks such as compression, noise, filtering and cropping, but also resist the geometric rotation attack.

出版日期: 2009-11-01
:  TP 391  
通讯作者: 朱善安,男,教授,博导.     E-mail: zsa@zju.edu.cn
作者简介: 胡裕峰(1982-),男,湖南湘潭人,博士生,主要从事图像处理和数字水印技术研究.
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引用本文:

胡裕峰, 朱善安. 基于脊波变换的量化水印算法[J]. J4, 2009, 43(11): 2017-2022.

HU Yu-Feng, SHU Shan-An. Ridgelet transform based quantitative watermarking algorithm. J4, 2009, 43(11): 2017-2022.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2009.11.013        http://www.zjujournals.com/eng/CN/Y2009/V43/I11/2017

[1] PODILCHUK C I, ZENG W J. Image-adaptive watermarking using visual models [J]. IEEE Journal on Selected Areas in Communications, 1998, 16(4): 525-539.
[2] ZHU W W, XIONG Z X, ZHANG Y Q. Multiresolution watermarking for images and video [J]. IEEE Transactions on Circuits and Systems for Video Technology, 1999, 9(4): 545-550.
[3] COX I J, MILLER M L, BLOOM J A. Digital watermarking [M]. New York: Academic Press, 2002: 1318.
[4] BAMI M, PODILCHUK C I, BARTOLINI F, et al. Watermark embedding: hiding a signal within a cover image [J]. IEEE Communications Magazine, 2001, 39(8): 102-108.
[5] 李黎,张明敏,潘志庚. 一种抗几何变换的图像盲水印算法[J].浙江大学学报:工学版, 2004, 38(2): 141-144.
LI Li, ZHANG Ming-min, PAN Zhi-geng. Image watermarking algorithm resilient to geometrical transform [J]. Journal of Zhejiang University: Engineering Science, 2004, 38(2): 141-144.
[6] 孙圣和,陆哲明,牛夏牧,等. 数字水印技术及应用[M]. 北京:科学出版社, 2004: 405409.
[7] CAMPISI P, KUNDUR D, NERI A. Robust digital watermarking in the ridgelet domain [J]. IEEE Signal Processing Letters, 2004, 11(10):826-830.
[8] 肖亮,韦志辉,吴慧中. 基于图像内容的脊波变换域数字水印模型和算法研究[J]. 电子与信息学报, 2004, 26(9): 1440-1448.
XIAO Liang, WEI Zhi-hui, WU Hui-zhong. Research of image content based digital watermarking model and algorithm in ridgelet transform domain [J]. Journal of Electronics and Information Technology, 2004, 26(9): 1440-1448.
[9] CANDES E J. Ridgelets: theory and applications [D].Stanford: Stanford University, 1998.
[10] 胡裕峰,朱善安. 基于脊波变换的扩频水印算法[J]. 光电工程, 2009, 35(11): 128-133.
HU Yu-feng, ZHU Shan-an. Spread spectrum watermarking algorithm based on ridgelet transform [J]. Opto-Electronic Engineering, 2009, 35(11): 128-133.
[11] SHANG Xiao-qing, ZHANG Wei-qiang, SONG Guo-xiang. Digital ridgelet transform and image representation [J]. Chinese Journal of Engineering Mathematics, 2005, 22(3): 393-398.
[12] DO M N, VETTERLI M. The finite ridgelet transform for image representation [J]. IEEE Transactions on Image Processing, 2003, 12(1): 16-28.
[13] 丁玮,闫伟齐,齐东旭. 基于Arnold变换的数字图像置乱技术[J]. 计算机辅助设计与图形学, 2001, 13(4): 338-341.
DING Wei, YAN Wei-qi, QI Dong-xu. Digital image scrambling technology based on arnold transformation [J]. Journal of Computer-Aided Design and Computer Graphics, 2001, 13(4): 338-341.
[14] SHE Kun, HUANG Jun-cai, ZHOU Ming-tian. Wavelet digital watermarking with unsupervised learning [J]. Chinese Journal of Electronics, 2005, 12(1): 10-14.

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