摘要
介绍了矩阵奇异值分解(SVD)的基本原理,重点研究了SVD的转置特性、聚能特性、翻转特性和相对稳定性,这些特性恰好满足数字水印技术的需求。最后,结合现有SVD的水印算法,提出了一种较为安全的嵌入和提取方案。
This paper introduces the fundamental principle of matrix singular value decomposition (SVD),and analyses the transpose property,flip property,concentrated power property,and stability property of the SVD.These characteristics meet the requirements of the digital watermarking technology exactly.Finally,with the combination of the present watermarking algorithm based on SVD,a relatively safe embedding and extracting scheme is proposed.
作者
金渊智
南楠
JIN Yuanzhi;NAN Nan(School of Communication and Information,Sanmenxia Polytechnic,Sanmenxia 472000,China)
出处
《常州信息职业技术学院学报》
2019年第1期27-30,共4页
Journal of Changzhou College of Information Technology
关键词
奇异值分解
矩阵初等变换
数字水印
版权保护
SVD (Singular Value Decomposition)
elementary transformation of matrix
digital watermarking
copyright protection