基于ICA的音频数字水印在彩铃版权保护中的应用  

The Application in MRBT Copyright Protection of Digital Audio Watermarking Based on Independent Component Analysis

作　　者：任平[1,2,3] 姜真杰[4] 李亚琴[2] 

机构地区：[1]江苏省现代企业信息化应用支撑软件工程技术研究开发中心,江苏苏州215000 [2]苏州市职业大学,江苏苏州215000 [3]信息工程大学,河南郑州450002 [4]东华大学信息学院,上海200051

出　　处：《微电子学与计算机》2010年第1期77-80,共4页Microelectronics & Computer

摘　　要：提出了一种基于独立分量分析(Independent Component Analysis,ICA)的音频数字水印方法.嵌入水印时,对原始音频文件进行一级小波分解,在分解得到的逼近分量中利用随机混合方法嵌入加密水印后进行小波逆变换形成嵌入水印的音频文件.提取水印时,对音频文件进行一级小波分解,用基于快速ICA方法进行水印提取.仿真实验结果表明这种方法的强鲁棒性和可行性.这种方法可有效地保护网络上彩铃的版权和下载权限.A method of digital audio watermarking based on Independent Component Analysis is proposed in this paper. When embedding watermarking, the original audio is decomposed by Single-level discrete 1-Dwavelet transform, water-marking is embedded by mixing randomly to the approximation coefficient vector obtained, and the audio is Single-level reconstructed receiving audio having watermarking. When extracting watermarking, the audio is decomposed by Single-level discrete 1-Dwavelet transform, and watermarking is extracted by ICA based on kurtosis maximization. Emulated experiment results show that this method is robust and feasible. This method can protect the copyright of MRBT effectively on internet.

关 键 词：音频数字水印 独立分量分析 离散小波变换 彩铃 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]