Robust resampling detection in digital images

  • Authors:
  • Hieu Cuong Nguyen;Stefan Katzenbeisser

  • Affiliations:
  • Computer Science Department, Darmstadt University of Technology, Germany;Computer Science Department, Darmstadt University of Technology, Germany

  • Venue:
  • CMS'12 Proceedings of the 13th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
  • Year:
  • 2012

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Abstract

To create convincing forged images, manipulated images or parts of them are usually exposed to some geometric operations which require a resampling step. Therefore, detecting traces of resampling became an important approach in the field of image forensics. In this paper, we revisit existing techniques for resampling detection and design some targeted attacks in order to assess their reliability. We show that the combination of multiple resampling and hybrid median filtering works well for hiding traces of resampling. Moreover, we propose an improved technique for detecting resampling using image forensic tools. Experimental evaluations show that the proposed technique is good for resampling detection and more robust against some targeted attacks.