[1]张晓明.基于音频统计特性的鲁棒水印算法[J].东南大学学报(自然科学版),2009,39(3):447-452.[doi:10.3969/j.issn.1001-0505.2009.03.006]
 Zhang Xiaoming.Robust watermarking algorithm based on audio statistical specification[J].Journal of Southeast University (Natural Science Edition),2009,39(3):447-452.[doi:10.3969/j.issn.1001-0505.2009.03.006]
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基于音频统计特性的鲁棒水印算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
39
期数:
2009年第3期
页码:
447-452
栏目:
计算机科学与工程
出版日期:
2009-05-20

文章信息/Info

Title:
Robust watermarking algorithm based on audio statistical specification
作者:
张晓明
北京石油化工学院计算机系, 北京 102617
Author(s):
Zhang Xiaoming
Department of Computer, Beijing Institute of Petrochemical Technology, Beijing 102617, China
关键词:
音频水印 不变特征 直方图 分段 低通滤波 容量
Keywords:
audio watermarking invariant feature histogram segmentation low-pass filtering capacity
分类号:
TP309
DOI:
10.3969/j.issn.1001-0505.2009.03.006
摘要:
为了抵抗低通滤波和时长调整等综合性攻击,提出了一种新的鲁棒性音频水印方法.首先,根据数据直方图中每4个连续Bin的样本数,建立了一种用于隐藏规则的稳定关系,并基于统计均值和标准差的不变特性,实现了数据范围的通用选择方法.然后,通过分析不同音频分段的隐藏效果,提出了基于小段划分与隐藏的设计思路,并结合直方图中4个连续Bin的样本关系,设计了基于统计特征的水印嵌入和提取算法.实验结果表明,该算法能够显著减少水印嵌入过程中数据样本的调整量.与已有方法相比,该方法不但具有保持抵抗时长调整、音量缩放、重采样和重量化等攻击的优异性能,而且能够显著增强抵抗低通滤波攻击的能力.
Abstract:
A novel robust audio watermarking approach is proposed to resist the common attacks of low-pass filtering and time-scale modification. First, a stable relationship for hiding rules is created based on the sample numbers of every four consecutive Bins in a histogram. And a general selection method of data ranges is designed based on the invariant statistical features of the data mean and the standard deviation. After analyzing the hiding effects under different audio segmentations, a new design idea based on small segmenting and hiding is presented. Then, an audio watermarking algorithm of embedding and extracting is designed combined with the stable relationships of four consecutive Bins. The experimental results show that the data modification number of the samples in the watermark embedding process can be decreased considerably. Besides, compared with other methods, this algorithm not only can maintain good performance against attacks such as time-scale modifications, volume change, re-sampling and re-quantizations, but also has a stronger ability to resist attacks of low-pass filtering and increase the hiding capacity by six times.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 张晓明(1968—), 男, 博士, 教授, zhangxiaoming@bipt.edu.cn.
基金项目: 北京市教委科技资助项目(KM200510017006)、北京市属市管高等学校人才强教计划资助项目.
引文格式: 张晓明.基于音频统计特性的鲁棒水印算法[J].东南大学学报:自然科学版,2009,39(3):447-452. [doi:10.3969/j.issn.1001-0505.2009.03.006]
更新日期/Last Update: 2009-05-20