基于质心和ASVD的鲁棒音频水印算法  

Robust Audio Watermarking Algorithm Based on Centroid and ASVD

作　　者：齐燕博 杜庆治[1] QI Yanbo;DU Qingzhi(College of Information Engineering and Automation,Kunming University of Science and Technology,Kunming Yunnan 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,云南昆明650500

出　　处：《信息安全与通信保密》2023年第3期93-102,共10页Information Security and Communications Privacy

基　　金：云南省媒体融合重点实验室开放基金项目(No.320225403)。

摘　　要：为了更好地保护音乐作品的版权,维护作品所有者的权益,提出一种基于质心和改进奇异值分解(Ameliorate Singular Value Decomposition,ASVD)的鲁棒音频水印算法。首先对水印信息应用交织编码技术充分发挥汉明码的纠错能力,选择质心所在子带作为水印嵌入子带。然后对水印嵌入子带进行离散小波变换(Discrete Wavelet Transform,DWT)和ASVD,利用DWT多尺度分解和ASVD奇异值相较于传统奇异值分解更加稳定的特性,实现水印的嵌入和提取。实验结果表明,采用该算法嵌入水印对音频的质量几乎没有影响,同时水印信息被攻击后具有很强的鲁棒性。In order to better protect the copyright of musical works and safeguard the rights and interests of the owners,a robust audio watermarking algorithm based on centroid and ASVD(Ameliorate Singular Value Decomposition)is proposed.First,the interleaving coding technology is applied to the watermark information to give full play to the error correction ability of Hamming code,and the sub-band where the centroid is located is selected as the watermark embedding sub-band.Then,DWT(Discrete Wavelet Transform)and ASVD are applied to the embedded sub-band of the watermark.The DWT multi-scale decomposition and ASVD are more stable than the conventional singular value decomposition to achieve watermark embedding and extraction.The experimental results indicate that the embedded watermark using this algorithm has almost no impact on the quality of the audio,and the watermark information has strong robustness after being attacked.

关 键 词：信息安全 交织 质心 离散小波变换 改进奇异值分解 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]