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

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.