摘要
在基于奇异值分解(SVD)算法的基础上,提出了一种基于Strassen矩阵乘法的奇异值分解水印算法;提供了原图像和水印图像的相似性度量方法;给出了该算法与SVD及Block-SVD算法的时间对比分析.实验结果表明:该算法的鲁棒性强,速度快,效率高.
In this paper,we present an improved digital image watermarking method of singular value based on Matrix multiplication of Strassen and comparability measurement Between original image and watermarking image;the new method is compared to the methods based on SVD and Block-SVD.Experimental results show that the new method is very robust and more effective than the usual ones.
出处
《江西师范大学学报（自然科学版）》
CAS
北大核心
2007年第5期467-470,共4页
Journal of Jiangxi Normal University(Natural Science Edition)
基金
国防预研基金(EP020824-09)资助项目
关键词
数字水印
奇异值分解
Strassen矩阵乘法
鲁棒性
相似性度量
Digital Watermarking
singular value decomposition
Matrix multiplication of Strassen
robustness
Comparability measurement
