首页 | 本学科首页   官方微博 | 高级检索  
     

一种奇异值分解数字水印算法的研究
引用本文:王慧琴,王嘉璐,王可,齐海平.一种奇异值分解数字水印算法的研究[J].工程图学学报,2011(5):30-34.
作者姓名:王慧琴  王嘉璐  王可  齐海平
作者单位:1. 西安建筑科技大学信息与控制工程学院,陕西西安,710055
2. 西安建筑科技大学信息与控制工程学院,陕西西安,710055;鄂尔多斯市发展和改革委员会,内蒙古鄂尔多斯,017000
基金项目:陕西省科技厅科学技术研究发展计划资助项目,西安建筑科技大学重大科技成果创新基金,西安建筑科技大学基础研究计划基金
摘    要:提出了一种可用于印刷品防伪的数字水印算法。将二值条码作为水印,嵌入到原始图像的奇异值分解的S分量。结合人类视觉系统(HVS)的视觉掩蔽特性,根据图像的块均匀度决定水印嵌入的强度,使嵌入的水印强度能够自适应于原始图像。水印提取时,利用Radon变换对待检测图像进行校正,并且根据二值条码的特性对提取出的水印图像进行了修正。实验结果表明,算法对一些常见的图像处理和几何攻击具有良好的鲁棒性。

关 键 词:数字水印  奇异值分解  二值条码  Radon变换

A Digital Watermarking Algorithm Based on SVD
WANG Hui-qin,WANG Jia-lu,WANG Ke,QI Hai-ping.A Digital Watermarking Algorithm Based on SVD[J].Journal of Engineering Graphics,2011(5):30-34.
Authors:WANG Hui-qin  WANG Jia-lu  WANG Ke  QI Hai-ping
Affiliation:1.Information and Control Engineering School of Xi'an University of Architecture and Technology,Xi'an Shaanxi 710055,China; 2.Development and Reform Commission of Ordos,Inner Mongolia Autonomous Region,Ordos Inner Mongolia 017000,China)
Abstract:In this paper,an adaptive watermarking algorithm of image based on Singular Value Decomposition(SVD) is proposed.Binary barcode is taken as watermarking embedded into the S component of SVD.By exploiting the visual masking and texture characteristics of Human Visual System(HVS),the strength of embedded watermarks is decided by the gray and texture of the original image.It ensures the self-adaptation of the intention of the embedded watermarks to the original image.The watermarked image is adjusted by using Radon transform before the watermarking is extracted and then the extracting barcode is corrected according to the characters of itself.The experimental results show that the proposed algorithm is invisible and robust against many commonly used image-processing methods and especially against geometric attack.This technology will be of good application in printing security.
Keywords:digital watermarking  singular value decomposition(SVD)  barcode  Radon transform
本文献已被 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