%0 Journal Article
%T A Blind Forensic Algorithm for Detecting Doctored Image Region by Application of Exemplar-based Image Completion<br>数字图像盲取证对样本合成修复应用的篡改区域检测算法
%A WU Qiong SUN Shao-Jie ZHU Wei LI Guo-Hui TU Dan HE Chao-Sheng College of Information System
%A Management
%A National University of Defense Technology
%A Changsha Nan-chang Army College
%A Nanchang
%A <br>吴琼
%A 孙韶杰
%A 朱为
%A 李国辉
%A 涂丹
%A 何朝盛
%J 自动化学报
%D 2009
%I 
%X This paper presents a blind image forensic algorithm for detecting forged images created by exemplar-based image completion technique. First, the zero-connectivity feature is used to describe the abnormal similarity of image block pairs caused by completion, and then the semi-trapezoid membership function is built up to translate the similarity characteristics of blocks into the fuzzy membership of tampered block. The tampered regions of forged image are localized by cutting the fuzzy set combining the location information of high membership blocks. The experimental results show that our algorithm can effectively distinguish natural images from inpainted forged images, and further localize the tampered regions.
%K Blind image forensics
%K image completion
%K zero-connectivity
%K fuzzy membership
%K exemplar synthesis<br>图像盲取证
%K 图像修复
%K 零连通
%K 模糊隶属度
%K 样本合成
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=B31A2B183D360DCE8CC273505077B8E9&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=1DF3F9D75A12D97B&eid=B78CD622C1934236&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=0