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应用科学学报 >

2014 , Vol. 32 >Issue 4: 434 - 440

DOI: https://doi.org/10.3969/j.issn.0255-8297.2014.04.015

信号与信息处理

局部统计特征的抗同步攻击音频水印

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  • 暨南大学信息科学技术学院，广州510632
项世军，教授，研究方向：信息隐藏，E-mail：xiangshijun@gmail.com

收稿日期: 2012-06-27

  修回日期: 2014-01-23

  网络出版日期: 2014-01-23

基金资助

国家自然科学基金(No.60903177，No.61272414)；广州市科技计划重点项目基金(No.2012J410008)资助

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Audio Watermarking against Synchronization Attacks Using Statistical Features

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  • School of Information Science and Technology, Jinan University, Guangzhou 510632, China

Received date: 2012-06-27

  Revised date: 2014-01-23

  Online published: 2014-01-23

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摘要

利用音频局部统计特征提出一种可同时抵抗时域拉伸和局部裁剪攻击的音频水印算法. 水印嵌入时先对音频信号进行鲁棒自适应分段，然后计算直方图和均值，参照均值修改直方图形状以完成信息隐藏. 理论分析和实验结果表明，该方法具有很好的抗时域拉伸性能，且抵抗局部裁剪攻击的性能有显著提高.

关键词： 音频水印; 鲁棒分段; 随机裁剪; 局部统计特征

本文引用格式

项世军, 霍永津, 刘尚翼, 罗欣荣 . 局部统计特征的抗同步攻击音频水印[J]. 应用科学学报, 2014 , 32(4) : 434 -440 . DOI: 10.3969/j.issn.0255-8297.2014.04.015

Abstract

This paper proposes a robust audio watermarking approach against random cropping and timescale modifications (TSM) by using two local statistical features. In the embedding, audio signals are divided into segments, and histogram and the absolute mean value of each segment computed. The histogram shapes of the segments are modified to insert messages by referring to the corresponding mean values. Theoretical analysis and experimental results show that the proposed audio watermarking algorithm can provide better performance for random cropping while keeping satisfactory robustness to the TSM attacks in comparison with earlier methods.  

Key words： audio watermarking; robust segmentation; random cropping; local statistical feature

参考文献

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