基于DWT-FRFT变换和QR分解的盲数字水印算法  

A Blind Digital Watermarking Algorithm Based on DWT-FRFT Transform and QR Decomposition

作　　者：吴强 彭亚雄 WU Qiang,PENG Yaxiong(School of Big Data and Information Engineering, Guizhou University, Guizhou 550025 ,China)

机构地区：[1]贵州大学大数据与信息工程学院,贵州贵阳550025

出　　处：《电子科技》2018年第10期53-55,68,共4页Electronic Science and Technology

基　　金：贵州省科技技术厅项目(2015BAK28B00)

摘　　要：为了提升数字水印技术的安全性和鲁棒性进而解决图像的版权保护问题,文中提出了一种基于离散小波变换-分数阶傅里叶变换(DWT-FRFT)和QR分解的盲数字水印算法。首先对原始图像进行离散小波变换-分数阶傅里叶变换,取其低频子带;然后对低频子带进行分块QR分解,并将有意义二值水印采用量化索引调制(QIM)重复嵌入到R的第1行中。通过MATLAB实验,证明该算法相较于传统方法,峰值信噪比(PSNR)和相关系数(NC)均是最优,具有更好的不可见性和鲁棒性。由于水印的提取过程未借助原始图像任何信息,此方法可归为一种盲水印算法。In order to improve the security and robustness of digital watemlarking technology and to solve theproblem of image copyright protection, a blind digital watemlarking algorithm based on Discrete Wavelet Transform -Fractional Fourier Transtoml （DWT- FRFT） and QR Decomposition was proposed. Firstly, the original image wastranstomled by DWT - FtlFT, and its low fiequency sub - band was taken for next analysis. Then, the Qtl decompo-sition of the low fiequency subband was pertomled and the significant binary watemlark was embedded in the first rowof R by using quantized index modulation （QIM）. The MATLAB experiment showed that the proposed algorithm wassuperior to the traditional method. The peak signal to noise ratio （PSNR） and the correlation coefficient （NC） werethe best, with better invisibility and robustness. Since none intomlation fiom the original image was used in theprocess of watemlark extraction, this method could be classified as a blind watermarking algorithm.

关 键 词：离散小波变换 分数阶傅里叶变换 QR分解 量化索引调制 数字水印 鲁棒性 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]