DWT-DCT-QR结合的音频盲水印算法  

Audio blind watermarking scheme combined DWT-DCT-QR

作　　者：杨榆[1,2] 雷敏[1,2] 钮心忻[1,2] 杨义先[1,2] 

机构地区：[1]北京邮电大学信息安全中心,北京100876 [2]北京邮电大学灾备技术国家工程实验室,北京100876

出　　处：《重庆大学学报（自然科学版）》2012年第8期62-66,共5页Journal of Chongqing University

基　　金：国家自然科学基金资助项目(61170269、61003285、61170272、60973149、61170271)

摘　　要：为保护互联网中数字音像制品的合法版权,结合离散小波变换(DWT)、离散余弦变换(DCT)、QR分解以及音频的特性,提出了一种针对音频的盲水印算法。首先对原始音频分段,然后对每个分段进行小波变换求得近似分量,再进行离散余弦变换,对低频部分进行QR分解,在QR分解后得到的上三角矩阵中嵌入水印信息。实验结果表明,该算法具有较好的透明性和鲁棒性,能够承受高斯加噪、重采样、重量化、低通滤波、MP3压缩、裁剪替换等常见音频信号处理攻击。In order to protect the copyright of digital audio and video in Internet, we propose a novel audio blind watermarking scheme combined discrete wavelets transform, discrete cosine transform, QR decomposition and audio characteristics. In this algorithm, the audio are split into blocks, and each block are decomposed on two-dimensional discrete wavelet transform （DWT）, then the approximate sub-band coefficients are decomposed on discrete cosine transform （DCT）, and the first quarter of the DCT coefficients are decomposed on QR decomposition and get a triangle matrix. At last, the watermarking information is embedded into the triangle matrix. The experiments show that the algorithm can get better balance between transparency and robustness of watermark, and it has strong robustness against the common audio signal processing such as additive white Gaussian noise, re-sampling, re-quantization, low- pass filter, MP3 compression and cutting replacement.

关 键 词：音频水印 离散小波变换 离散余弦变换 QR分解 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]