Image Tamper Detection Based on Demosaicing Artifacts

DİRİK A. E., Nasir M.

IEEE International Conference on Image Processing, ICIP 09, Cairo, Mısır, 7 - 10 Kasım 2009, ss.1497-1500, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icip.2009.5414611
  • Basıldığı Şehir: Cairo
  • Basıldığı Ülke: Mısır
  • Sayfa Sayıları: ss.1497-1500
  • Anahtar Kelimeler: Digital image forensics, tamper detection, CFA
  • Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

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.