自适应小波域数字音频水印嵌入算法研究  

A New Adaptive Digital Audio Watermarking Algorithm

作　　者：王向阳[1] 杨红颖[1] 赵红[1] 付斌[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院

出　　处：《小型微型计算机系统》2006年第7期1353-1357,共5页Journal of Chinese Computer Systems

基　　金：信息安全国家重点实验室开放基金(03-02)资助;辽宁省自然科学基金(20032100)资助

摘　　要：以整型提升小波变换、人类听觉掩蔽特性、数字音频局部邻域特性为基础,提出了一种自适应小波域数字音频水印嵌入算法.该算法具有以下特点:(1)结合人类听觉系统的掩蔽特性,实现了水印嵌入位置的自适应确定;(2)引入了高效的整型提升小波变换;(3)利用数字音频的局部邻域特性,实现了数字水印嵌入深度的智能调节;(4)数字水印信息的提取不需要原始音频信号.对比实验表明:该自适应数字音频水印算法不仅具有较好的透明性,而且对诸如叠加噪声、有损压缩、低通滤波、重新采样、重新量化等攻击均具有较好的鲁棒性(特别是叠加噪声与低通滤波).In this paper, a new adaptive digital audio watermarking scheme based on the auditory masking in wavelet domain is presented. The content-based digital audio watermarking procedure directly exploits the auditory masking of human auditory system （HAS） to guarantee that the embedded watermark is inaudible and robust. By performing the integer lifting wavelet transform and quantizing wavelet coefficients according to the local audio characteristics, the watermark can be embedded adaptively into the digital audio signals in the watermarking algorithm. The algorithm can extract the watermark without the help from the original digital audio signal. Experimental results show that the proposed watermarking scheme is inaudible and robust against various signal processing such as noising adding, lossy compression, low pass filtering, re-sampling, and re-quantifying.

关 键 词：数字音频 听觉掩蔽特性 提升小波变换 局部音频特性 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]