计算机工程与应用Issue(12)：87-90,95,5.DOI:10.3778/j.issn.1002-8331.1207-0466
基于DWT和SVD的自适应数字音频零水印算法
Adaptive digital audio zero-watermarking algorithm based on DWT and SVD
摘要
Abstract
In order to protect the copyright of the digital audio effectively, combined with the important features of human auditory system and singular value decomposition, a digital audio zero-watermarking algorithm in the wavelet domain is presented. The algorithm uses chaotic sequence to encrypt the watermarking image, then chooses most suitably constructing the audio segment of zero-watermarking according to the local features of audio signals in time domain. The selected audio segments are carried on discrete wavelet transform, and low frequency components of the wavelet domain are extracted for singular value decomposition. The zero-watermarking is constructed using the largest singular value of the low frequency coefficients, and the digital audio copyright protection is realized. The experimental results show that the safety and the imper-ceptibility of the watermarking are very good, and the algorithm has good robustness for different styles of audio signals. It can effectively resist the attack of Gauss noise, low-pass filtering, resampling, requantization, shear and compression.关键词
音频水印/零水印/奇异值分解/离散小波变换/自适应Key words
audio watermarking/zero-watermarking/singular value decomposition/discrete wavelet transform/adaptive分类
信息技术与安全科学引用本文复制引用
任克强,李慧,谢斌..基于DWT和SVD的自适应数字音频零水印算法[J].计算机工程与应用,2014,(12):87-90,95,5.基金项目
江西省教育厅青年科学基金项目（No.GJJ11132）。 （）
