计算机应用 ›› 2010, Vol. 30 ›› Issue (05): 1217-1220.

• 信息安全 • 上一篇    下一篇

基于小波包分析的数字音频双水印算法

杨晋霞1,马朝阳2,张雪英3   

  1. 1. 太原理工大学信息工程学院
    2. 太原理工大学
    3.
  • 收稿日期:2009-11-10 修回日期:2010-01-21 发布日期:2010-05-04 出版日期:2010-05-01
  • 通讯作者: 马朝阳

Digital audio dual watermarking scheme based on wavelet packet analysis

  • Received:2009-11-10 Revised:2010-01-21 Online:2010-05-04 Published:2010-05-01

摘要: 针对以往双水印算法鲁棒性不高和定位不准确的问题,提出一种基于小波包分析的数字音频双水印算法。算法对原始音频信号进行小波包分解,在得到的低频系数和中低频系数中嵌入零水印和半脆弱水印。改进的零水印算法鲁棒性有了很大的提高,能更好地完成音频信号的版权保护;对中低频系数采用量化的方法嵌入二值水印图像,有别于以往算法需将二维图像转换为一维序列,不会对零水印的提取产生影响。该方法对一系列常规处理和幅度缩放都有较好的鲁棒性,不但能确定水印图像遭恶意篡改的位置,而且能够定位原始载体音频的篡改位置,真正实现了对音频信号的内容认证。

关键词: 小波包分析, 双水印, 版权保护, 内容认证

Abstract: Aiming at solving the problems of previous dual watermarking algorithm, such as poor robustness and inaccurate positioning, a wavelet packet analysis-based digital audio dual watermarking scheme was presented. In this scheme, zero-watermarking and semi-fragile watermarking were embedded into the low-frequency coefficients and the intermediate low-frequency coefficients of wavelet packet decomposition for the original audio signal. The robustness of improved zero-watermarking algorithm has been greatly increased; therefore, the copyright protection of audio signals can be completed better; binary watermark image was embedded in the intermediate low-frequency coefficients by quantization different from the previous algorithm requiring to convert two-dimensional image to one-dimensional sequence, which did not affect zero-watermarking extraction. The algorithm has good robustness in resisting a series of conventional treatment and amplitude scaling, can not only examine the malicious tampering location of the watermark image, but also locate the tampering position of original vector audio, so it achieves the content authentication of the audio signal truly.

Key words: wavelet packet analysis, dual watermark, copyright protection, content authentication