TY - GEN
T1 - Blind source camera identification
AU - Kharrazi, Mehdi
AU - Sencar, Husrev T.
AU - Memon, Nasir
PY - 2004
Y1 - 2004
N2 - An interesting problem in digital forensics is that given a digital image, would it be possible to identify the camera model which was used to obtain the image. In this paper we look at a simplified version of this problem by trying to distinguish between images captured by a limited number of camera models. We propose a number of features which could be used by a classifier to identify the source camera of an image in a blind manner. We also provide experimental results and show reasonable accuracy in distinguishing images from the two and five different camera models using the proposed features.
AB - An interesting problem in digital forensics is that given a digital image, would it be possible to identify the camera model which was used to obtain the image. In this paper we look at a simplified version of this problem by trying to distinguish between images captured by a limited number of camera models. We propose a number of features which could be used by a classifier to identify the source camera of an image in a blind manner. We also provide experimental results and show reasonable accuracy in distinguishing images from the two and five different camera models using the proposed features.
UR - http://www.scopus.com/inward/record.url?scp=20444438052&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2004.1418853
DO - 10.1109/ICIP.2004.1418853
M3 - Conference contribution
AN - SCOPUS:20444438052
SN - 0780385543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 709
EP - 712
BT - 2004 International Conference on Image Processing, ICIP 2004
T2 - 2004 International Conference on Image Processing, ICIP 2004
Y2 - 24 October 2004 through 27 October 2004
ER -