A complete passive blind image copy-move forensics scheme based on compound statistics features.pdf
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A complete passive blind image copy-move forensics scheme based on compound statistics features
Forensic Science International 212 (2011) e21–e25Rapid communication
A complete passive blind image copy-move forensics scheme based on compound
statistics features
Fei Peng a,*, Yun-ying Nie a, Min Long b
a School of Information Science and Engineering, Hunan University, Changsha 410082, PR China1
bCollege of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, PR China2
A R T I C L E I N F O
Article history:
Received 18 January 2011
Received in revised form 6 June 2011
Accepted 6 June 2011
Available online 2 July 2011
Keywords:
Digital image forensics
Sensor pattern noise
Wavelet transform based de-noise
Tampering location
A B S T R A C T
Since most sensor pattern noise based image copy-move forensics methods require a known reference
sensor pattern noise, it generally results in non-blinded passive forensics, which significantly confines
the application circumstances. In view of this, a novel passive-blind image copy-move forensics scheme
is proposed in this paper. Firstly, a color image is transformed into a grayscale one, and wavelet
transform based de-noising filter is used to extract the sensor pattern noise, then the variance of the
pattern noise, the signal noise ratio between the de-noised image and the pattern noise, the information
entropy and the average energy gradient of the original grayscale image are chosen as features, non-
overlapping sliding window operations are done to the images to divide them into different sub-blocks.
Finally, the tampered areas are detected by analyzing the correlation of the features between the sub-
blocks and the whole image. Experimental results and analysis show that the proposed scheme is
completely passive-blind, has a good detection rate, and is robust against JPEG compression, noise,
rotation, scaling and blurring.
2011 Elsevier Ireland Ltd. All rights reserved.
Contents lists available at ScienceDirect
Forensic Science International
jou r nal h o mep age: w ww.
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