基于DCT和SVD的QR码数字水印算法  

Digital watermarking method for QR code images based on DCT and SVD

作　　者：刘丽[1] 周亚建[1] 张斌[2] 袁开国[3] 丁海洋[1] 郭玉翠[4] 

机构地区：[1]北京邮电大学信息安全中心,北京100876 [2]中国信息安全产品测评认证中心,北京100876 [3]北京邮电大学计算机学院,北京100876 [4]北京邮电大学理学院,北京100876

出　　处：《红外与激光工程》2013年第S02期304-311,共8页Infrared and Laser Engineering

基　　金：国家自然科学基金(61003284);新闻出版重大科技工程项目"数字版权保护术研发工程"(GXTC-CZ-1015004/09);北京市自然科学基金(4122053);北京市教育委员会科技计划(KM201210015006);中央高校基本科研业务费专项资金(BUPT2012RC0217)

摘　　要：以离散余弦变换(DCT)和矩阵奇异值分解(SVD)为基础,结合Quick Response(QR)码的高容量、高纠错特性,提出了一种适合QR码的强鲁棒性数字水印算法。首先,提取QR码图像中的寻像和分隔符图形,并进行高斯加噪模糊化处理,把得到的QR码灰度图像作为载体图像,同时对水印图像进行Arnold置乱处理。然后,对载体图像进行8×8的分块DCT变换,取每块的直流系数得到矩阵A(64×64),对A进行SVD分解,并在A的奇异值处嵌入水印信息。实验结果表明:该算法在不影响QR码正确识别的基础上,不仅具有较好的不可见性,而且对如叠加高斯噪声、椒盐噪声、泊松噪声和中值滤波等攻击均具有很好的鲁棒性。The proposes a new robust digital watermarking method for Quick Response （QR） code images, which was based on Discrete Cosine Transformation （DCT） and singular value decomposition （SVD）. The new method fully takes advantage of the high- capacity property and a good error- correction ability of QR code. Firstly, position detection was performed to extract pattern positions and separators in a given QR image and then fuzzify the image with Gaussian noise to form a carrier image. At the meanwhile, the watermarking image was scrambled with Arnold transform. Next, transformation with DCT were done on the basis of 8’8 blocks and whose DC coefficients were put together to form a matrix A with a dimension of 64’64. Finally, watermarking image can be embedded in singular values of matrix A after applying SVD to it. Experimental results show that the algorithm was robust in resisting attacks such as Gaussian noise, salt ＆ pepper noise, speckle noise and median filter without affecting the correct identification of QR code.

关 键 词：QR码 DCT SVD 数字水印 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]