Feature-based camera model identification works in Practice: Results of a comprehensive evaluation study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5806 LNCS, Issue , 2009, Pages 262-276

  Gloe, Thomas ^a   Borowka, Karsten ^a   Winkler, Antje ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA MODEL; CAMERA SETTINGS; COMPREHENSIVE EVALUATION; CONTROLLED CONDITIONS; FEATURE-BASED; FORENSIC INVESTIGATION; IDENTIFICATION METHOD; IMAGE SOURCE; IN-DEPTH ANALYSIS; MULTIPLE DEVICES; REAL-WORLD SCENARIO; SOURCE MODELS;

INDUCTION HEATING;

CAMERAS;

EID: 70350460002     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04431-1_19     Document Type: Conference Paper

References (19)

1. Lyu, S., Farid, H.: How realistic is photorealistic? IEEE Transactions on Signal Processing 53(2), 845-850 (2005)
2. Dehnie, S., Sencar, H.T., Memon, N.: Digital image forensics for identifying computer generated and digital camera images. In: Proceedings of the 2006 IEEE International Conference on Image Processing (ICIP 2006), pp. 2313-2316 (2006)
3. Khanna, N., Mikkikineni, A.K., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Forensic classification of imaging sensor types. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505 (2007), 65050U
4. Kharrazi, M., Sencar, H.T., Memon, N.: Blind source camera identification. In: Proceedings of the 2004 IEEE International Conference on Image Processing (ICIP 2004), pp. 709-712 (2004)
5. Bayram, S., Sencar, H.T., Memon, N.: Improvements on source camera-model identification based on CFA. In: Proceedings of the WG 11.9 International Conference on Digital Forensics (2006)
6. Çeliktutan, O., Avcibas, İ., Sankur, B.: Blind identification of cellular phone cameras. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505 (2007), 65051H
7. Swaminathan, A., Wu, M., Liu, K.J.R.: Nonintrusive component forensics of visual sensors using output images. IEEE Transactions on Information Forensics and Security 2(1), 91-106 (2007)
8. Filler, T., Fridrich, J., Goljan, M.: Using sensor pattern noise for camera model identification. In: Proceedings of the 2008 IEEE International Conference on Image Processing (ICIP 2008), pp. 1296-1299 (2008)
9. Lukáŝ, J., Fridrich, J., Goljan, M.: Determining digital image origin using sensor imperfections. In: Said, A., Apostolopoulus, J.G. (eds.) Proceedings of SPIE: Image and Video Communications and Processing, vol. 5685, pp. 249-260 (2005)
10. Chen, M., Fridrich, J., Goljan, M.: Digital imaging sensor identification (further study). In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505 (2007), 65050P
11. Gloe, T., Franz, E., Winkler, A.: Forensics for flatbed scanners. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security, Steganography, and Watermarking of Multimedia Contents IX, vol. 6505 (2007), 65051I
12. Gou, H., Swaminathan, A., Wu, M.: Robust scanner identification based on noise features. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505 (2007), 65050S
13. Khanna, N., Mikkikineni, A.K., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Scanner identification using sensor pattern noise. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505 (2007), 65051K
14. Goljan, M., Fridrich, J., Filler, T.: Large scale test of sensor fingerprint camera identification. In: Delp, E.J., Dittmann, J., Memon, N., Wong, P.W. (eds.) Proceedings of SPIE: Media Forensics and Security XI, vol. 7254, 7254-18 (2009)
15. Çeliktutan, O., Sankur, B., Avcibas, İ.: Blind identification of source cell-phone model. IEEE Transactions on Information Forensics and Security 3(3), 553-566 (2008)
16. Farid, H., Lyu, S.: Higher-order wavelet statistics and their application to digital forensics. In: IEEE Workshop on Statistical Analysis in Computer Vision (in conjunction with CVPR) (2003)
17. Chang, C.C., Lin, C.J.: LIBSVM: A library for support vector machines (2001), http://www.csie.ntu.edu.tw/̃cjlin/libsvm
18. Gloe, T., Böhme, R.: The 'Dresden' image database for benchmarking digital image forensics. Submitted to the 25th Symposium on Applied Computing, ACM SAC 2010 (2010)
19. Adams, J., Parulski, K., Spaulding, K.: Color processing in digital cameras. IEEE Micro. 18(6), 20-30 (1998)