基于DWTDCTSVD的音频盲水印算法

doi:10.13190/jbupt.2011s1.51.leim

北京邮电大学学报 ›› 2011, Vol. 34 ›› Issue (s1): 51-54.doi: 10.13190/jbupt.2011s1.51.leim

基于DWTDCTSVD的音频盲水印算法

雷敏^1,2,杨榆²

1. 北京邮电大学软件学院, 北京 100876; 2. 北京邮电大学信息安全中心, 北京 100876

出版日期:2011-10-28 发布日期:2011-10-28
作者简介:雷敏（1979-），男，博士生，E-mail：leimin@bupt.edu.cn
基金资助:
国家重点基础研究发展计划项目（2007CB311203）；国家自然科学基金项目（60821001，90604022）；中央高校基本科研业务费专项资金项目（BUPT2009RC0215）

An Audio Blind Watermarking Scheme Based on DWTDCTSVD

Online:2011-10-28 Published:2011-10-28
Supported by:

摘要/Abstract

摘要：

提出了一种结合离散小波变换（DWT）、离散余弦变换（DCT）和奇异值分解（SVD）的音频盲水印方法，将原始音频数据分段后进行二级小波变换，再将近似分量进行余弦变换，把余弦变化后的前1/4系数进行奇异值分解后嵌入水印. 水印的嵌入容量为2756 bit/s. 实验结果表明，该算法具有较好的透明性，并且对于MP3压缩、重量化、重采样、低通滤波、裁剪替换、高斯加噪等常见音频信号处理攻击具有很强的鲁棒性.

关键词: 小波变换, 奇异值分解, 盲水印

Abstract:

A new audio blind watermarking scheme based on discrete wavelet transform  discrete cosine transform singular value decomposition (DWTDCTSVD) is proposed. In this algorithm, the audio is split as blocks, and each block is decomposed on twodimensional DWT, then the approximate subband coefficients are decomposed on DCT, and the first quarter of the DCT coefficients are decomposed on SVD transform and get a diagonal matrix. At last, the watermarking information is embedded into the diagonal matrix. The watermark embedding capacity is 2756 bit/s. Experiments show that the algorithm can get better balance between transparency and robustness of watermark, and it has strong robustness against the common audio signal processing such as MP3 compression, requantization, resampling, lowpass filter, cutting replacement and additive white Gaussian noise.

Key words: discrete wavelets transform, singular value decomposition, blind watermarking

中图分类号:

TN309

雷敏,杨榆. 基于DWTDCTSVD的音频盲水印算法[J]. 北京邮电大学学报, 2011, 34(s1): 51-54.

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基于DWTDCTSVD的音频盲水印算法

An Audio Blind Watermarking Scheme Based on DWTDCTSVD

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