%0 Journal Article
%T Passive-Blind Forensics for a Class of JPEG Image Forgery<br>针对一类JPEG图像伪造的被动盲取证
%A Zheng Er-gong Ping Xi-jian
%A <br>郑二功
%A 平西建
%J 电子与信息学报
%D 2010
%I 
%X Compositing is the most common form of digital image forging. For a class of JPEG image forgery, a simple and effective detecting algorithm is proposed on the basis of inconsistencies of blocking artifacts between tampered region and non-tampered region. Firstly, a testing image is cropped and recompressed with the estimated primary quality factor. Secondly, blocking artifacts factor map is extracted via computing the distortion caused by recompression. Finally, automatic detection and location of tampered region is realized by using image segmentation. Experimental results demonstrate that the proposed approach is applicable to images of various qualities and lesser-tampered regions. When the difference of quality factors between double compression and single compression is greater than 15, the accuracy reaches above 93% with a less than 5% false positive rate.
%K Image forensics
%K Composite image
%K JPEG double compression
%K Blocking artifacts factor<br>图像取证
%K 合成图像
%K JPEG二次压缩
%K 块效应指数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=865B51548E7161F066AC54CC328D8BE7&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=0B39A22176CE99FB&sid=0BD4FAD4A90498AB&eid=87545994EC2C1F12&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=19