DocumentCode :
1412310
Title :
Detecting Image Forgery Using Perspective Constraints
Author :
Yao, Heng ; Wang, Shuozhong ; Zhao, Yan ; Zhang, Xinpeng
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Volume :
19
Issue :
3
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
123
Lastpage :
126
Abstract :
In visual perception, distant objects appear smaller than those close to the observer. To insert an object into an image, properly size a foreign object is difficult, especially when there is no reference object in the same distance. To detect this type of image forgery, we present a perspective-constraint based method, with which the height ratio of two objects in an image can be determined without any knowledge of the camera parameters. Assuming that the camera is held leveled and with negligible tilt, the height ratio can be found merely by a vanishing line of the plane on which both objects of interest is situated. Once the estimated ratio exceeds a tolerable interval, a forged region is identified. Experimental results show efficacy of the method even if the images to be tested have been down-sampled or compressed with a low quality factor.
Keywords :
data compression; image coding; object detection; camera parameters; distant objects; height ratio; image forgery detection; perspective-constraint based method; visual perception; Cameras; Estimation; Forgery; Image edge detection; Lighting; Optical imaging; Transmission line matrix methods; Image forensics; image forgery detection; perspective constraint;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2011.2182191
Filename :
6119200
Link To Document :
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