基于盲源分离的小波域多重音频水印方法

马晓红; 孙长富

doi:10.3724/SP.J.1146.2007.00384

基于盲源分离的小波域多重音频水印方法

doi: 10.3724/SP.J.1146.2007.00384

基金项目:

国家自然科学基金(60575011)和辽宁省自然科学基金(20052181)资助课题

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- 被引次数: 0
出版历程
- 收稿日期: 2007-03-19
- 修回日期: 2007-08-06
- 刊出日期: 2008-10-19

A DWT Domain Multiple Watermarking Scheme Based on Blind Source Separation

摘要

摘要: 该文利用盲源分离理论，提出一种小波域的多重音频水印方法。为了解决多水印嵌入过程中经常需要考虑的嵌入顺序问题，同时增强水印方法的安全性，本文将两路水印信号与一路等长的混沌序列进行混合，得到嵌入水印信号。然后，利用线性混合方法，将嵌入水印信号与选定的小波系数进行混合，得到隐秘信号。水印提取时，利用独立分量分析算法，提取嵌入水印信号，再经过后处理过程，得到原始水印。该水印方案是一种盲水印方法，可以将多个作者信息同时嵌入到音频作品中，而不需要考虑水印的嵌入顺序。实验结果表明，该方法对常规的信号处理操作具有良好的鲁棒性，以及良好的抵抗时间轴同步攻击的能力。
- 多重水印 /
- 嵌入水印 /
- 小波变换 /
- 盲源分离 /
- 独立分量分析
Abstract: A DWT domain multiple watermarking scheme based on blind source separation is proposed in this paper. In consideration of the embedding order and safety, two original watermarks are mixed with a chaotic sequence to generate an embedding watermark signal. Then the host audio signal is transformed into wavelet domain to obtain the low frequency coefficients and the embedding watermark is embedded in with the linear mixing model. In the extraction procedure, the FastICA is applied to obtain the embedding watermark signal and the original watermark signals. The scheme is a blind watermarking method and need not consider the embedding order. The experimental results show that the method proposed in this paper is robust against most common signal processing and the time-scale modification.
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参考文献(1)

[1] Swanson M D, Zhu B, and Tewfik A H, et al.. Robust audiowatermarking using perceptual masking[J].Signal Processing.1998, 66(3):337-355 [2] Arnold M. Audio watermarking: features, applications andalgorithms. IEEE International Conference on Multimediaand Expo, New York, USA, 2000: 1013-1016. [3] 张华熊, 仇佩亮. 用于版权保护的鲁棒音频水印. 计算机辅助设计与图形学学报, 2002, 14(8): 786-789. [4] Lie W N and Li C C. Robust and high-quantitytime-domain audio watermarking based on low-frequencyamplitude modification[J].IEEE Trans. on Multimedia.2006,8(1):46-59 [5] Pan J S, Huang H C, and Wang F H. A VQ-based robustmulti-watermarking algorithm. IEEE Region 10 Conferenceon Computers, Communications, control and PowerEngineering, Beijing, China, 2002: 117-120. [6] Kim T Y, Choi H, and Lee K, et al.. An asymmetricwatermarking system with many embedding watermarkscorresponding to one detection watermark[J].IEEE SignalProcessing Letters.2004, 11(3):375-377 [7] Huang W L and Gou J. An image fusion-basedmulti-watermarking algorithm. IEEE InternationalConference on Networking, Sensing and Control, Florida,USA, 2006: 266-269. [8] 张贤达, 保铮. 盲信号分离. 电子学报, 2001, 29(12):1766-1771. [9] Hyv.rinen A. A fast fixed-point algorithm for independentcomponent analysis. Neural Computation, 1997, 9(7):1483-1492. [10] Zou J and Word R K. Introducing two new imagescrambling methods. IEEE Pacific Rim Conference onCommunications, Computers and signal Processing, Victoria,Canada, 2003: 708-711. [11] 张志明, 王磊. 基于混沌加密的DCT域图像水印算法. 计算机工程, 2003, 29(17): 9-10, 39. [12] Wu S Q, Huang J W, and Huang D R, et al.. Efficientlyself-Synchronized audio watermarking for assured audiodata transmission[J].IEEE Trans. on Broadcasting.2005,51(1):69-76

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