Performance Evaluation of Digital Audio Watermarking Algorithm under Low Bits Rates
Performance Evaluation of Digital Audio Watermarking Algorithm under Low Bits Rates
复制标题
低比特率下数字音频水印算法的性能评估
DOI：
10.1007/978-3-642-23971-7_42
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Delong Cui
中科院分区：
文献类型：
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作者：
Guilan Yu;Jinglong Zuo;Delong Cui
数字水印是一种用于在多媒体信号中嵌入额外信息的技术。数字水印可以通过多种不同的方法来实现，但现有的常见水印技术面临着可察觉的质量下降以及水印嵌入带来的不可见性和稳健性之间的内在冲突的问题。提出了一种基于提升小波变换(LWT)和非负矩阵分解(NMF)的音频零水印内容认证方案。该算法首先将音频按固定长度划分为多个帧，然后对每一帧分别进行三级LWT，得到频域分量。其次，利用NMF将音频帧近似表示为基矩阵和系数矩阵的乘积。最后通过量化系数矩阵得到特征向量，然后通过计算水印和特征向量得到版权信息。通过常见的信号处理对算法的性能进行了分析，实验结果表明，该方案具有较好的鲁棒性和安全性。
Digital watermarking is a technique used to embed an extra piece of information into multimedia signals. Digital watermarking can be realized by many different methods, but common existing techniques for watermarking are confronted with the problems of perceptible quality degradation and the inherent conflict between imperceptibility and robustness, which introduced by the watermark embedding. In this paper, a novel audio zero-watermarking scheme based on lifting-based wavelet transformation (LWT) and non-negative matrix factorization (NMF) for content authentication is proposed. First the audio is divided to frame by fixed length and then frequent components are obtained by three-level LWT in every frame. Secondly the audio frame is approximately represented as a product of a base matrix and a coefficient matrix using NMF. Finally the feature vector is obtained by quantification the coefficient matrix, and then the copyright information is obtained by calculating the watermark and feature vector. The performance of proposed algorithm is analysis by common signal processing, and experiment results show that the proposed scheme is robust and secure.