TY - GEN
T1 - Identifying camera and processing from cropped JPEG photos via tensor analysis
AU - Li, Weihai
AU - Yu, Nenghai
AU - Yuan, Yuan
PY - 2010
Y1 - 2010
N2 - Digital image and video forensics is to detect the authenticity of digital images/videos. So far, existing algorithms are designed by exploring one or several special features, which usually result in limited performance and applicability. With the perspective of entire procedure including image acquisition and image processing, a theory of general blind image forensics is proposed in this paper. Then a new blind image forensic method is designed based on this theory to identify camera source and processing history of cropped compressed digital images. In this method, tensor decomposition analysis is applied to extract features of nonlinear operations, which come from both algorithms embedded within camera and operations done by post-software. Then, the Support Vector Machine is utilized to classify whether the target image is captured by the claimed camera and underwent the declared processing history. Experimental results show that this method has high detection accuracy, which demonstrated that our theory is correct.
AB - Digital image and video forensics is to detect the authenticity of digital images/videos. So far, existing algorithms are designed by exploring one or several special features, which usually result in limited performance and applicability. With the perspective of entire procedure including image acquisition and image processing, a theory of general blind image forensics is proposed in this paper. Then a new blind image forensic method is designed based on this theory to identify camera source and processing history of cropped compressed digital images. In this method, tensor decomposition analysis is applied to extract features of nonlinear operations, which come from both algorithms embedded within camera and operations done by post-software. Then, the Support Vector Machine is utilized to classify whether the target image is captured by the claimed camera and underwent the declared processing history. Experimental results show that this method has high detection accuracy, which demonstrated that our theory is correct.
KW - Camera identification
KW - Image forensics
KW - Processing identification
KW - Tensor decomposition
UR - http://www.scopus.com/inward/record.url?scp=78751504925&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2010.5641757
DO - 10.1109/ICSMC.2010.5641757
M3 - 会议稿件
AN - SCOPUS:78751504925
SN - 9781424465880
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3889
EP - 3895
BT - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
T2 - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Y2 - 10 October 2010 through 13 October 2010
ER -