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新的特征点强鲁棒音频水印技术
引用本文:李金梅,宋欣,马卓赛,肖海,苑立军.新的特征点强鲁棒音频水印技术[J].计算机工程与应用,2011,47(8):66-69.
作者姓名:李金梅  宋欣  马卓赛  肖海  苑立军
作者单位:1. 哈尔滨医科大学基础医学院,哈尔滨,150081
2. 牡丹江医学院图书馆,黑龙江牡丹江,157011
摘    要:以均值量化索引调制(MQIM)、特征点为理论基础,提出一种新颖的强鲁棒性数字音频水印技术。该算法选取数字音频的局部能量峰值点作为特征,提取稳定的特征点;以特征点为标记,对特征点后的区域进行分段,利用均值量化索引调制将水印嵌入到原始音频的小波域中。水印提取时无需原始图像。仿真实验表明,提出的算法对常规信号处理(MP3压缩、叠加噪声、重新采样、重新量化等)和去同步攻击(随机剪切、幅度缩放、变调、抖动等)均具有较好的鲁棒性。

关 键 词:音频水印  特征点  均值量化索引调制(MQIM)  离散小波变换(DWT)
修稿时间: 

New robust audio watermarking based on feature points
LI Jinmei,SONG Xin,MA Zhuosai,XIAO Hai,YUAN Lijun.New robust audio watermarking based on feature points[J].Computer Engineering and Applications,2011,47(8):66-69.
Authors:LI Jinmei  SONG Xin  MA Zhuosai  XIAO Hai  YUAN Lijun
Affiliation:1.College of Basic Medical Science,Harbin Medical University,Harbin 150081,China 2.Library of Mudanjiang Medical University,Mudanjiang,Heilongjiang 157011,China
Abstract:A robust digital audio watermarking technology based on Mean Quantization Index Modulation(MQIM) and feature points is proposed.It chooses the digital audio local energy peaks as feature to extract the stable feature points,marks the feature points and segments the audio signal behind the feature points,then embeds the watermark bits into wavelet domain by using MQIM.Meanwhile,the algorithm can extract the watermark without the help from the original digital audio signal.Simulation results show that the proposed watermarking scheme is not only robust against common signals processing such as MP3 compression,noise addition,re-sampling,re-quantization,but also robust against the desynchronization attacks such as random cropping,amplitude variation,pitch shifting,time-scale modification,and jittering.
Keywords:audio watermarking feature points  Mean Quantization Index Modulation(MQIM) Discrete Wavelet Transform(DWT)
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