Multimedia Forensics Is Not Computer Forensics
IWCF '09 Proceedings of the 3rd International Workshop on Computational Forensics
Anti-forensics of contrast enhancement in digital images
Proceedings of the 12th ACM workshop on Multimedia and security
IEEE Transactions on Information Forensics and Security
Scene illumination as an indicator of image manipulation
IH'10 Proceedings of the 12th international conference on Information hiding
Digital image forensics: a booklet for beginners
Multimedia Tools and Applications
Countering counter-forensics: the case of JPEG compression
IH'11 Proceedings of the 13th international conference on Information hiding
Median filtering detection using edge based prediction matrix
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Performance and robustness analysis for some re-sampling detection techniques in digital images
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Robust resampling detection in digital images
CMS'12 Proceedings of the 13th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
A Survey of Digital Forensic Techniques for Digital Libraries
International Journal of Digital Library Systems
Blind median filtering detection using statistics in difference domain
IH'12 Proceedings of the 14th international conference on Information Hiding
Countering universal image tampering detection with histogram restoration
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Robust median filtering detection based on filtered residual
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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Resampling detection has become a standard tool for forensic analyses of digital images. This paper presents new variants of image transformation operations which are undetectable by resampling detectors based on periodic variations in the residual signal of local linear predictors in the spatial domain. The effectiveness of the proposed method is supported with evidence from experiments on a large image database for various parameter settings. We benchmark detectability as well as the resulting image quality against conventional linear and bicubic interpolation and interpolation with a sinc kernel. These early findings on ldquocounter-forensicrdquo techniques put into question the reliability of known forensic tools against smart counterfeiters in general, and might serve as benchmarks and motivation for the development of much improved forensic techniques.