TY - GEN
T1 - Imaging sensor noise as digital X-ray for revealing forgeries
AU - Chen, Mo
AU - Fridrich, Jessica
AU - Lukáš, Jan
AU - Goljan, Miroslav
PY - 2007
Y1 - 2007
N2 - In this paper, we describe a new forensic tool for revealing digitally altered images by detecting the presence of photo-response non-uniformity noise (PRNU) in small regions. This method assumes that either the camera that took the image is available to the analyst or at least some other non-tampered images taken by the camera are available. Forgery detection using the PRNU involves two steps - estimation of the PRNU from non-tampered images and its detection in individual image regions. From a simplified model of the sensor output, we design optimal PRNU estimators and detectors. Binary hypothesis testing is used to determine which regions are forged. The method is tested on forged images coming from a variety of digital cameras and with different JPEG quality factors. The approximate probability of falsely identifying a forged region in a non-forged image is estimated by running the algorithm on a large number of non-forged images.
AB - In this paper, we describe a new forensic tool for revealing digitally altered images by detecting the presence of photo-response non-uniformity noise (PRNU) in small regions. This method assumes that either the camera that took the image is available to the analyst or at least some other non-tampered images taken by the camera are available. Forgery detection using the PRNU involves two steps - estimation of the PRNU from non-tampered images and its detection in individual image regions. From a simplified model of the sensor output, we design optimal PRNU estimators and detectors. Binary hypothesis testing is used to determine which regions are forged. The method is tested on forged images coming from a variety of digital cameras and with different JPEG quality factors. The approximate probability of falsely identifying a forged region in a non-forged image is estimated by running the algorithm on a large number of non-forged images.
UR - https://www.scopus.com/pages/publications/49949100635
U2 - 10.1007/978-3-540-77370-2_23
DO - 10.1007/978-3-540-77370-2_23
M3 - Conference contribution
SN - 354077369X
SN - 9783540773696
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 342
EP - 358
BT - Information Hiding - 9th International Workshop, IH 2007, Revised Selected Papers
T2 - 9th International Workshop on Information Hiding, IH 2007
Y2 - 11 June 2007 through 13 June 2007
ER -