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奇异值分解的可自恢复的图像篡改认证方案
引用本文:杨卫民,孟令梅,蔡键.奇异值分解的可自恢复的图像篡改认证方案[J].计算机工程与应用,2011,47(13):216-218.
作者姓名:杨卫民  孟令梅  蔡键
作者单位:中南林业科技大学 计算机与信息工程学院,长沙 410004
基金项目:湖南省教育厅项目,湖南省科技计划项目
摘    要:提出一种图像的自嵌入水印算法,该算法将图像分块奇异值分解,并提取每块的最大奇异值实施量化生成量化图像。量化图像生成的二值编码经过置乱和混沌加密后嵌入到原始图像的置零位之中。算法不仅能检测和定位对图像的篡改,而且能恢复被篡改图像的内容。实验结果表明篡改定位准确,被损坏的图像内容恢复质量较好。

关 键 词:奇异值分解  数字水印  自嵌入  
修稿时间: 

Scheme tamper authentication and self recovery of images using SVD
YANG Weimin,MENG Lingmei,CAI Jian.Scheme tamper authentication and self recovery of images using SVD[J].Computer Engineering and Applications,2011,47(13):216-218.
Authors:YANG Weimin  MENG Lingmei  CAI Jian
Affiliation:School of Computer and Information Engineering,Center South University of Forestry and Technology,Changsha 410004,China
Abstract:A watermarking algorithm for self-embedding of an image is proposed.The image is divided into small blocks and each block is singular value decomposition.Then the quantization image is obtained by drawing the maximum SVs to be quantized from each block.The binary code of quantization image is scrambled and chaotically encrypted,then it is embedded into LSBs of original image,which are set to zero.The algorithm not only can detect and locate the tampering to image,but also recover the content of the tampered image.Experimental results demonstrate that the locating of tamper can be located accurately and the quality of recovery of damaged image’s content is good
Keywords:Singular Value Decomposition(SVD)  digital watermarking  self-embedding
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