基于离散小波变换和复倒谱的音频水印算法

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基于离散小波变换和复倒谱的音频水印算法作者：黄雄华蒋韦贞

来源：《安徽理工大学学报·自然科学版》2010年第01期

摘要: 离散小波变换和复倒谱的数字音频盲水印算法首先对原始音频数据进行分段处理并对每个音频数据段进行二级离散小波变换,然后对二级小波近似系数做复倒谱变换并修改复倒谱的统计均值以嵌入水印。为了便于观察,水印选用二值可视图像,并利用混沌技术进行了加密处理,加强其安全性。算法提取水印时不需要原始音频信号,实现了水印的盲检测。仿真实验证明了算法的鲁棒性和不可感知性。

关键词:音频水印;统计均值;混沌;离散小波变换;复倒谱

中图分类号:TP309文献标识码:A 文章编号:1672-1098(2010)01-0042-04

Audio Watermarking Based on DWT and Complex Cepstrum

HUANG Xiong-hua1,JIANG Wei-zhen2

(1. Practice and Experiment Station, Guilin University of Electronic Technol ogy, Guilin Guangxi, 541004, China;2. College of Information Science and Techno logy, Jinan University, Guangzhou Guangdong 510084, China)

Abstract: In the digital audio blind watermarking algorithm based on DWT(discret e wavelet translate) and complex cepstrum transform, firstly original audio is d ivided into several segments and each audio segment is transformed by two levelsDWT. Secondly, complex cepstrum transform is performed in the second level appr oximate coefficients and watermarks were embedded in complex cepstrum coefficien ts statistical mean value. In order to observe conveniently, two values image wa termark was selected and the chaos technology was made used of encrypting the im age for the sake of security. The watermarking could be extracted without the or iginal audio signal and realized blind detection. Experimental results demonstra ted that the algorithm was robust and imperceptible.

Key words: audio watermarking; statistical mean value; chaos; DWT; complex cepst rum

复倒谱分析是语音信号处理中的一种强有力的分析手段。倒谱分析是同态系统的理论基础, 在语音识别、地震检测、声纳分析等有广泛的应用。在倒谱域研究倒音频水印,文献[1-2 ]提出了倒谱域统计均值修改算法;文献[3]提出了倒谱域BCH纠错码的鲁棒音频水印算法;文献[4-5]

提出了根据人类听觉感知特性,和心理声学模型定性控制水印嵌入的倒谱域音频水印算法。这些算法的共同问题在于复倒谱均是针对时域的,复倒谱变换本身是一个时域的数学变换过程,频域比时空域具有更好的鲁棒性[6]。因此 ,本文首先对音频进行两级小波分解,然后对二级近似