Title :
Image tamper detection based on demosaicing artifacts
Author :
Dirik, Ahmet Emir ; Memon, Nasir
Author_Institution :
Polytech. Inst., Electr. & Comput. Eng. Dept., NYU, New York, NY, USA
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.
Keywords :
filtering theory; image colour analysis; object detection; color filter array processing; demosaicing artifacts; digital cameras; image tamper detection; threshold based classifier; Character generation; Color; Colored noise; Digital cameras; Digital filters; Filtering; Image generation; Sensor arrays; Splicing; Testing; CFA; Digital image forensics; tamper detection;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414611
