DocumentCode
2645231
Title
Digital Image Forgery Detection Based on the Consistency of Defocus Blur
Author
Wang, Xin ; Xuan, Bo ; Peng, Si-Long
Author_Institution
Eng. & Technol. Res. Center, Zhengzhou
fYear
2008
fDate
15-17 Aug. 2008
Firstpage
192
Lastpage
195
Abstract
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.
Keywords
focusing; image texture; realistic images; defocus blur inconsistency; digital image forgery detection; image blurring; image patches; local blur estimation; Apertures; Cameras; Coherence; Design engineering; Digital images; Forensics; Forgery; Image edge detection; Layout; Lenses;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3278-3
Type
conf
DOI
10.1109/IIH-MSP.2008.165
Filename
4604037
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