基于QR分解的NSCT域指纹图像脆弱水印算法  

Fragile Watermarking for Fingerprint Images Based on QR Decomposition in NSCT-Domain

作　　者：史骏鹏 吴一全[1,2] 

机构地区：[1]南京航空航天大学电子信息工程学院,南京211106 [2]南京理工大学江苏省社会安全图像与视频理解重点实验室,南京210094

出　　处：《应用科学学报》2017年第6期735-744,共10页Journal of Applied Sciences

基　　金：国家自然科学基金(No.61573183);江苏省社会安全图像与视频理解重点实验室(南京理工大学)开放基金(No.JSKL201302);江苏高校优势学科建设工程项目基金(2012)资助

摘　　要：为保证指纹信息在网络传输中的安全性,提出一种基于QR分解的非下采样contourlet变换(non-subsampled contourlet transform,NSCT)域指纹图像脆弱水印算法.首先用Arnold变换和Logistic置乱对指纹水印进行双重加密待用.将宿主图像进行两层NSCT分解,提取出低频分量进行分块处理,对所有分块都进行QR分解,得到多个上三角矩阵.由于图像QR分解后大部分信息集中于上三角矩阵的首行元素,具有较好的信息保真能力,因此将加密后的指纹水印嵌入上三角矩阵.实验结果表明,该算法在保证不可感知性的前提下,对于常规图像处理和一般几何攻击都具有很好的脆弱性,并且能够精确地定位出篡改区域.To ensure security of fingerprint information in a network environment, a fragile watermarking Mgorithm for fingerprint images based on QR decomposition in the non- subsampled contourlet transform （NSCT） domain is proposed. The fingerprint watermark is prepared by double encryption using Arnold transform and logistic scrambling. Two- level NSCT is performed on a host image, and the low frequency component is divided into blocks with QR decomposition. The encrypted fingerprint watermark is embedded into the upper triangular matrix obtained with QR decomposition. The algorithm has good fidelity of the information because entries in the first row of the upper triangular matrix contain most information in the image. Experimental results show that, keeping invisibility, the proposed algorithm is vulnerable to both conventional image processing and geometric attacks, and therefore can accurately locate the tampered area.

关 键 词：脆弱水印 指纹图像 NSCT变换 QR分解 篡改定位 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]