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Splicing Tampering Forensics of JPEG Images Based on the Resampling Detection

XIE Peng-cheng,LI Feng(College of Computer & Communication Engineering,Changsha University of Science & Technology,Changsha 410114,China)  
In order not to leave any visual evidence of tampering when the digital images were tampered by splicing,the tampered region might be dealt with some resample operations,such as scaling,rotation,and so on.Targeting this phenomenon,this paper proposes a new JPEG image splicing forgery algorithm based on the re-sampling detection.Firstly,calculating the second derivative of the local JPEG image region and doing the Radon transform to it,then finding the auto-covariance and doing fast Fourier transform to it.After those processing,the impact of JPEG compression in the frequency domain is eliminated.Secondly,judging that whether the local region is operated by re-sampling is to be the evidence of whether the detected JPED images are tampered with splicing.Experimental results demonstrate that the proposed algorithm performs well in tamper forensics of JPEG images spliced after the re-sampling operations that include scaling and rotation.
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