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计算机工程 ›› 2010, Vol. 36 ›› Issue (5): 131-133. doi: 10.3969/j.issn.1000-3428.2010.05.048

• 安全技术 • 上一篇    下一篇

基于混沌扩频和能量系数差的音频盲水印算法

孔华锋1,2   

  1. (1. 信息网络安全公安部重点实验室,上海 201204;2. 华中科技大学图像与人工智能研究所,武汉 430074)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-05 发布日期:2010-03-05

Blind Audio Watermark Algorithm Based on Chaotic Spread Spectrum and Difference of Energy Coefficients

KONG Hua-feng1,2   

  1. (1. Key Laboratory of Information Network Security, Ministry of Public Security, Shanghai 201204; 2. Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-05 Published:2010-03-05

摘要: 提出一种基于混沌扩频和能量系数差的小波域数字音频盲水印算法。采用混沌扩频序列对原始水印进行加密,小波算法对原始音频信号进行分解,引入心理声学模型选取适当的阈值,根据高频系数分量和低频系数分量的能量差值与阈值的大小关系,实现对水印信息的嵌入、提取和盲检测。在提取过程中结合线性伸缩恢复的方法消除时间轴上线性伸缩带来的影响。实验结果表明,该算法对多种音频文件的操作和攻击均具有良好的鲁棒性。

关键词: 音频数字水印, Chebyshev混沌扩频, 离散小波变换, 线性伸缩

Abstract: This paper proposes a blind audio watermark algorithm based on chaotic spread spectrum and difference of energy coefficients during the research of audio watermark technique. The watermark data is encrypted by Chebyshev chaotic spread spectrum based on secret key. Audio signal is decomposed by wavelet transform and the energy differences of the approximation coefficients and detail coefficients are collected and classified into two classes according to the relationship between the energy differences and the thresholds based on psychoacoustics model. In this way, the watermarks are embedded, extracted and achieved not only the blind signal detection, but also greater degree of increase watermark robustness. The restoration of the linear scaling is used to resist the influence of the linear scaling on time axis. Experimental results show that this algorithm is robust to many operations and attacks on digital audio signal.

Key words: audio digital watermark, Chebyshev chaotic spread spectrum, discrete wavelet transform, linear scaling

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