Image Tamper Detection Based on Demosaicing Artifacts

DİRİK A. E., Nasir M.

IEEE International Conference on Image Processing, ICIP 09, Cairo, Egypt, 7 - 10 November 2009, pp.1497-1500 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icip.2009.5414611
  • City: Cairo
  • Country: Egypt
  • Page Numbers: pp.1497-1500
  • Keywords: Digital image forensics, tamper detection, CFA
  • Bursa Uludag University Affiliated: No

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.