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Digital image forgery detection based on the consistency of defocus blur

被引：18
|
作者：
Wang, Xin [1 ]
Xuan, Bo [2 ]
Peng, Si-long [2 ]
机构：
[1] China Natl Digital Switching Syst Engn & Technol, Zhengzhou, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Natl ASIC Design & Engn Ctr, Beijing, Peoples R China
来源：
2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/IIH-MSP.2008.165
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A passive blind digital image forgery detection method was proposed in this paper. Basic defocus model shows that image patches with similar distances to the lens have similar blur kernel sizes. This consistency is broken in image forgery as the result of possible blurring and different imaging conditions. Our forgery detection technique uses local blur estimation at each edge pixels to exposes the defocus blur inconsistency. Experiment results of tampered images from real law cases show the effectiveness of our technique.
引用
收藏
页码：192 / +
页数：2
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