首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于SVD的图像水印算法缺陷分析及对策
引用本文:金渊智.基于SVD的图像水印算法缺陷分析及对策[J].柳州职业技术学院学报,2013,13(2):36-38.
作者姓名:金渊智
作者单位:三门峡职业技术学院信息工程系,河南 三门峡,472000
摘    要:介绍了矩阵奇异值分解的基本原理,分析了现有基于SVD的图像水印算法的缺陷。这种缺陷导致了提取出的水印结果并不是先前嵌入的水印,这样就无法应用于版权保护。结合最新的SVD研究成果,提出了一种相对可靠的解决办法。

关 键 词:奇异值分解  数字水印  版权保护  缺陷分析

Drawbacks in SVD-based Image Watermarking Algorithm and Its Countermeasures
JIN Yuan-zhi.Drawbacks in SVD-based Image Watermarking Algorithm and Its Countermeasures[J].Journal of Liuzhou Vocational & Technical College,2013,13(2):36-38.
Authors:JIN Yuan-zhi
Institution:JIN Yuan-zhi (Computer Technology and Information Engineering Department Sanmenxia Polytechnic, Sanmenxia Henan 472000, China)
Abstract:The fundamental of matrix singular value decomposition is introduced, and the existing method in the SVD-based image watermarking and their major drawback is discussed. This flaw leads to the extracted watermark is not the embedded watermark, so they cannot be applied to copyright protection. Combined with the latest SVD research results, a relatively reliable watermarking algorithm based on SVD is proposed.
Keywords:SVD  digital watermarking  copyright protection  analyze drawbacks
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号