基于奇异值分解的小波域灰度数字水印算法  

Gray-level digital watermarking algorithm based on singular value decomposition in wavelet domain

作　　者：刘润涛[1] 孙中喜[2] 倪金霞[3] 周洪玉[4] 

机构地区：[1]哈尔滨理工大学信息与科学计算技术研究所,哈尔滨150080 [2]河海大学理学院,南京211188 [3]南京交通职业技术学院,信息工程系,南京211188 [4]哈尔滨理工大学机械CAD研究所,哈尔滨150080

出　　处：《哈尔滨工业大学学报》2009年第11期193-196,共4页Journal of Harbin Institute of Technology

基　　金：国家自然科学基金资助项目(10571037);黑龙江省教育厅资助项目(11511087)

摘　　要：针对灰度数字水印的隐藏问题,依据Arnold变换、奇异值分解及小波分析理论,提出了一种基于奇异值分解的小波域灰度数字水印算法,该算法对图像先进行二级小波分解,将分解得到的低频子图进行奇异值分解,然后将经Arnold变换置乱后的灰度水印嵌入.实验结果表明,该算法有效克服了灰度水印数据量大的缺点,并具有水印嵌入后图像失真小、鲁棒性好、安全性高等优点.In this paper, a digital watermarking algorithm based on singular value decomposition is proposed in wavelet domain for a gray-level watermarking. In this algorithm, the original image is firstly transformed into the discrete wavelet domain and then a low frequency sub-image is obtained. Afterwards, the gray-level watermarking which has been scrambled with Arnold scranrbling is embedded into the sub-image which has a singular value decomposition. Experimental results show that this algorithm overcomes the drawbacks of the gray-level watermarking with a large amount of data and has the advantages of low image distortion, robustness, and high security.

关 键 词：数字水印 图像置乱 奇异值分解 离散小波变换 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]