A new feature-based method for source camera identification

IFIP International Federation for Information Processing

Volumn 285, Issue , 2008, Pages 207-218

  Meng, Fanjie ^a   Kong, Xiangwei ^a   You, Xingang ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b Beijing Inst New Technol Applic   (China)

Author keywords

Bi coherence; Source camera identification; Wavelet coefficients

Indexed keywords

BI-COHERENCE; DIGITAL CAMERA IDENTIFICATION; DIGITAL IMAGE FORENSICS; FEATURE-BASED METHOD; FORWARD FEATURE SELECTIONS; PROCESSING OPERATIONS; SOURCE CAMERA IDENTIFICATIONS; WAVELET COEFFICIENTS; IMAGING PIPELINES;

DIGITAL CAMERAS; IMAGE PROCESSING; VIDEO CAMERAS; IMAGE ACQUISITION; WAVELET TRANSFORMS;

WAVELET TRANSFORMS; IMAGE PROCESSING;

EID: 51149111643     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-84927-0_17     Document Type: Article

References (24)

1. I. Avcibas, Image Quality Statistics and Their Use in Steganalysis and Compression, Ph.D. Dissertation, Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 2001.
2. I. Avcibas, N. Memon and B. Sankur, Steganalysis using image quality metrics, IEEE Transactions on Image Processing, vol. 12(2), pp. 221-229, 2003.
3. P. Blythe and J. Fridrich, Secure digital camera, Proceedings of the Fourth Digital Forensic Research Workshop, 2004.
4. C. Chang and C. Lin, LIBSVM: A Library for Support Vector Machines (www.csie.ntu.edu.tw/~cjlin/libsvm).
5. K. Choi, E. Lam and K. Wong, Automatic source camera identification using the intrinsic lens radial distortion, Optics Express, vol. 14(24), pp. 11551-11565, 2006.
6. K. Choi, E. Lam and K. Wong, Source camera identification using footprints from lens aberration, Proceedings of the SPIE, vol. 6069, pp. 172-179, 2006.
7. F. Devernay and O. Faugeras, Automatic calibration and removal of distortion from scenes of structured environments, Proceedings of the SPIE, vol. 2567, pp. 62-72, 1995.
8. J. Fackrell and S. McLaughlin, Detecting nonlinearities in speech sounds using bi-coherence, Proceedings of the Institute of Acoustics, vol. 18(9), pp. 123-130, 1996.
9. H. Farid, Blind inverse gamma correction, IEEE Transactions on Image Processing, vol. 10(10), pp. 1428-1433, 2001.
10. H. Farid and A. Popescu, Blind removal of image non-linearities, Proceedings of the Eighth International Conference on Computer Vision vol. 1, pp. 76-81, 2001.
11. H. Farid and A. Popescu, Blind removal of lens distortion, Journal of the Optical Society of America - A, vol. 18(9), pp. 2072-2078, 2001.
12. Z. Geradts, J. Bijhold, M. Kieft, K. Kurosawa, K. Kuroki and N. Saitoh, Methods for identification of images acquired with digital cameras, Proceedings of the SPIE, vol. 4232, pp. 505-512, 2001.
13. C. Hsu, C. Chang and C. Lin, A Practical Guide to Support Vector Classification, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan (www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf), 2008.
14. N. Khanna, A. Mikkilineni, A. Martone, G. Ali, G. Chiu, J. Allebach and E. Delp, A survey of forensics characterization methods for physical devices, Digital Investigation, vol. 3(S1), pp. 17-18, 2006.
15. M. Kharrazi, H. Sencar and N. Memon, Blind source camera identification, Proceedings of the International Conference on Image Processing, vol. 1, pp. 709-712, 2004.
16. Y. Kim and E. Powers, Digital bispectral analysis and its applications to nonlinear wave interactions, IEEE Transactions on Plasma Science vol. 7(2), pp. 120-131, 1979.
17. J. Lukas, J. Fridrich and M. Goljan, Determining digital image origin using sensor imperfections, Proceedings of the SPIE, vol. 5685, pp. 249-260, 2005.
18. J. Lukas, J. Fridrich and M. Goljan, Digital "bullet scratches" for images, Proceedings of the International Conference on Image Processing, vol. 3, pp. 65-68, 2005.
19. J. Lukas, J. Fridrich and M. Goljan, Digital camera identification from sensor pattern noise, IEEE Transactions on Information Forensics and Security, vol. 1(2), pp. 205-214, 2005.
20. S. Lyu and H. Farid, Detecting hidden messages using higher-order statistics and support vector machines, Proceedings of the Fifth International Workshop on Information Hiding, pp. 340-354, 2002.
21. S. Lyu and H. Farid, How realistic is photorealistic? IEEE Transactions on Signal Processing, vol. 53(2-2), pp. 845-850, 2005.
22. T. Ng and S. Chang, Passive-blind image forensics, in W. Zeng, H. Yu and C. Lin (Eds.), Multimedia Security Technologies for Digital Rights Academic Press, New York, pp. 383-412, 2006.
23. T. Ng, S. Chang and Q. Sun, Blind detection of photomontage using higher order statistics, Proceedings of the International Symposium on Circuits and Systems, vol. 5, pp. 688-691, 2004.
24. P. Pudil, F. Ferri, J. Novovicova and J. Kittler, Floating search methods for feature selection with nonmonotonic criterion functions, Proceedings of Twelfth IEEE International Conference on Pattern Recognition, vol. 2, pp. 279-283, 1994.