一种新的大容量数字音频水印嵌入算法  

New Large-Capacity Digital Audio Watermarking Algorithm

作　　者：杨红颖[1] 崔永瑞[1] 王向阳[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,辽宁大连116029

出　　处：《小型微型计算机系统》2006年第10期1914-1917,共4页Journal of Chinese Computer Systems

基　　金：视觉与听觉信息处理国家重点实验室开放基金(0503)资助;辽宁省自然科学基金(20032100)资助

摘　　要：提出了一种新的大容量数字音频水印嵌入算法.该算法具有以下特点:(1)以整型小波变换为基础,不仅降低了舍入误差,而且提高了音频水印的嵌入与检测速度;(2)采纳分段变换及整体修改策略,增强了数字水印嵌入的稳定性;(3)以灰度图像作为数字水印,不仅数据容量大,而且更具层次感和多样性;(4)以保证不可感知性和鲁棒性的良好平衡为前提,实现了数字水印的盲检测.仿真实验表明:所提出的算法不仅具有较好的不可感知性,而且对诸如重新采样、重新量化、低通滤波、MP3压缩、叠加噪声等攻击均具有较好的鲁棒性.In this paper, a new large-capacity digital audio watermarking algorithm based on integer wavelet transform is presented, in which the gray image can be embedded into the host audio signal. The features of the proposed algorithm are as follows： （1） Integer wavelet transform theory is utilized to solve rounder-off error problem and to low computation complexity. （2） The strategy of segment transform and the whole wavelet coefficients modification is adopted to improve the robustness of the digital watermark. （3） The gray image is embedded to enlarge the watermark volume. （4） 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 re-sampling, re-quantifying, low pass filtering, MP3 compression, and noising adding.

关 键 词：音频水印 灰度图像 整型小波变换 鲁棒性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]