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基于小波变换和倒谱变换的音频水印技术
引用本文:禹召阳,张晓明.基于小波变换和倒谱变换的音频水印技术[J].数字社区&智能家居,2009(16).
作者姓名:禹召阳  张晓明
作者单位:北京化工大学;北京石油化工学院;
摘    要:提出了一种基于小波变换和倒谱变换的数字音频水印算法。该算法将音频信号进行小波分解,选取低频系数。对低频系数进行倒谱变换,并根据统计均值思想,把水印嵌入到倒谱域中,实现了在音频信号中嵌入二值图像。实验结果表明该算法具有比较好的鲁棒性,能抵抗常见信号的攻击,如低通滤波、重采样、重量化、有损压缩、音量变化、添加白噪声等。

关 键 词:音频水印  小波变换  倒谱变换  统计均值  鲁棒性  

An Audio Watermarking Algorithm Based on Wavelet and Cepstrum Transform
YU Zhao-yang,ZHANG Xiao-ming.An Audio Watermarking Algorithm Based on Wavelet and Cepstrum Transform[J].Digital Community & Smart Home,2009(16).
Authors:YU Zhao-yang    ZHANG Xiao-ming
Affiliation:YU Zhao-yang1,2,ZHANG Xiao-ming2 (1.Beijing University of Chemical Technology,Beijing 100029,China,2.Beijing Institute of Petro-chemical Technology,Beijing 102617,China)
Abstract:An audio watermarking algorithm is proposed based on wavelet and cepstrum transform. It decomposes the audio signal in wavlete domain,by extracting the wavelet approximate components and selecting the low-frequent coefficient. Then the low-frequent coefficient is transformed in cepstrum domain. According to the statistical mean manipulation idea,an image watermark is embedded into the cepstrum domain of the audio signal. Experimental results show that the algorithm has better robustness on resisting common ...
Keywords:Audio Watermarking  Wavelet Transform  Cepstrum Transform  Statistical Mean Manipulation  Robustness  
本文献已被 CNKI 等数据库收录!
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