摘要
奇异值分解(Singular Value Decomposition,SVD)是一种特殊的矩阵分解技术。图像的奇异值具有很好的稳定性,体现的是图像的内蕴性质,这使得它在图像水印领域得到了广泛应用。通过回顾空域和变换域中经典的基于SVD的水印算法,分析了算法的缺陷,讨论了现有的改进方案,提出了基于奇异值分解设计水印算法的注意事项。
Singular value decomposition is a special decomposition technology of matrices.Singular values are of very good stability,representing the intrinsic characters of images,which makes it widely used in the field of image watermarking.The shortcomings and several improvements of the existing classic SVD-based watermarking algorithms in both spatial and transform domains are reviewed and discussed.Furthermore,how to design watermarking algorithms based on SVD is mentioned.
出处
《计算机与数字工程》
2009年第10期43-45,84,共4页
Computer & Digital Engineering
关键词
数字图像
奇异值分解
图像水印
digital image
singular value decomposition
image watermarking
