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《A SURVEY OF COPY-MOVE FORGERY DETECTION TECHNIQUES》.pdf
A SURVEY OF COPY-MOVE FORGERY DETECTION TECHNIQUES
Sevinc Bayram Husrev Taha Sencar Nasir Memon
Polytechnic Institute of NYU TOBB University of Polytechnic Insitute of NYU
ECE Dept. Economics Technology CIS Dept.
Brooklyn, NY Comp Engineering Dept. Brooklyn, NY
Ankara, TURKEY
ABSTRACT do not reveal any visual artifacts or anomalies, the underlying
statistics of these images would be different than the original
Copy-move forgery is a specific type of image tampering where
ones. Based on this, Bayram et al. described features that
a part of the image is copied and pasted on another part gen-
are sensitive to various common image processing operations
erally to conceal unwanted portions of the image. Hence, the
and built classifiers to detect such operations [1]. Similarly,
goal in detection of copy-move forgeries is to detect image
Popescu et al. proposed a method to detect correlations in
areas that are same or extremely similar. In this paper, we re-
the image which occurs due to scaling or rotation [2]. Based
view several methods proposed to achieve this goal. These
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