Image tamper detection based on demosaicing artifacts

  • Authors:
  • Ahmet Emir Dirik;Nasir Memon

  • Affiliations:
  • Polytechnic Institute of NYU, Electrical & Computer Engineering Dept.;Polytechnic Institute of NYU, Computer Science & Engineering Dept.

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

In this paper, we introduce tamper detection techniques based on artifacts created by Color Filter Array (CFA) processing in most digital cameras. The techniques are based on computing a single feature and a simple threshold based classifier. The efficacy of the approach was tested over thousands of authentic, tampered, and computer generated images. Experimental results demonstrate reasonably low error rates.