Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7541, Issue , 2010, Pages

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

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Camera model identification; Digital image forensics; Forgery detection; Image source identification; Lateral chromatic aberration

Indexed keywords

CAMERA MODEL; CHROMATIC ABERRATION; DIGITAL IMAGE FORENSICS; EFFICIENT ESTIMATION; IMAGE FORENSICS; IMAGE SOURCE; NEW APPROACHES; RUNTIMES; STATE-OF-THE-ART METHODS;

CAMERAS; IMAGE PROCESSING;

ABERRATIONS;

EID: 77951846602     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.839034     Document Type: Conference Paper

References (21)

1. M. K. Johnson and H. Farid, "Exposing digital forgeries through chromatic aberration," in MM&Sec'06, Proceedings of the Multimedia and Security Workshop 2006, September 26-27, 2006, Geneva, Switzerland, pp. 48-55, 2006.
2. L. T. Van, S. Emmanuel, and M. S. Kankanhalli, "Identifying source cell phone using chromatic aberration," in Proceedings of the 2007 IEEE International Conference on Multimedia and EXPO, pp. 883-886, 2007.
3. Z. J. Geradts, J. Bijhold, M. Kieft, K. Kurosawa, K. Kuroki, and N. Saitoh, "Methods for identification of images acquired with digital cameras," in Proceedings of SPIE: Enabling Technologies for Law Enforcement and Security, S. K. Bramble, E. M. Carapezza, and L. I. Rudin, eds., 4232, pp. 505-512, 2001.
4. M. Kharrazi, H. T. Sencar, and N. Memon, "Blind source camera identification," in Proceedings of the 2004 IEEE International Conference on Image Processing, pp. 709-712, 2004.
5. J. Lukáš, J. Fridrich, and M. Goljan, "Digital camera identification from sensor noise," IEEE Transactions on Information Forensics and Security 1(2), pp. 205-214, 2006. (Pubitemid 43824631)
6. A. E. Dirik, H. T. Sencar, and N. Memon, "Digital single lens reflex camera identification from traces of sensor dust," IEEE Transactions on Information Forensics and Security 3, pp. 539-552, 2008.
7. H. Farid, "Digital image ballistics from jpeg quantization: A followup study," Tech. Rep. TR2008-638, Department of Computer Science, Dartmouth College, Hanover, NH, USA, 2008.
8. A. C. Popescu and H. Farid, "Statistical tools for digital forensics," in 6th International Workshop on Information Hiding, IH 2004, Torronto, Canada, May 23-24, 2004, Revised and Selected Papers, J. Fridrich, ed., 3200, pp. 128-147, Springer Verlag, (Berlin, Heidelberg), 2004.
9. A. C. Popescu and H. Farid, "Exposing digital forgeries by detecting duplicated image regions," Tech. Rep. TR2004-515, Department of Computer Science, Dartmouth College, Hanover, NH, USA, 2004.
10. A. C. Popescu and H. Farid, "Exposing digital forgeries by detecting traces of re-sampling," IEEE Transactions on Signal Processing 53(2), pp. 758-767, 2005. (Pubitemid 40181769)
11. M. K. Johnson and H. Farid, "Exposing digital forgeries in complex lighting environments," IEEE Transactions on Information Forensics and Security 2(3), pp. 450-461, 2007. (Pubitemid 47290579)
12. M. Kirchner and T. Gloe, "On resampling detection in re-compressed images," in First IEEE International Workshop on Information Forensics and Security, pp. 21-25, 2009.
13. T. Gloe and R. Böhme, "The 'Dresden Image Database' for benchmarking digital image forensics," in Proceedings of the 25th Symposium On Applied Computing, 2, pp. 1585-1591, 2010.
14. J. Mallon and P. F. Whelan, "Calibration and removal of lateral chromatic aberration in images," Pattern Recognition Letters 28, pp. 125-135, 2007. (Pubitemid 44646672)
15. K. S. Choi, E. Y. Lam, and K. K. Y. Wong, "Automatic source camera identification using intrinsic lens radial distortion," Optics Express 14(24), pp. 11551-11565, 2006.
16. Y. Zheng, S. Lin, C. Kambhamettu, J. Yu, and S. B. Kang, "Single-image vignetting correction," IEEE Transactions on Pattern Analysis and Machine Intelligence 31, pp. 2243-2256, 2009.
17. T. E. Boult and G. Wolberg, "Correcting chromatic aberrations using image warping," in Proceedings of the 1992 IEEE Conference on Computer Vision and Pattern Recognition, pp. 684-687, 1992.
18. S. B. Kang, "Automatic removal of chromatic aberration from a single image," in Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8, 2007.
19. A. E. Dirik, S. Bayram, H. T. Sencar, and N. Memon, "New features to identify computer generated images," in Proceedings of the 2007 IEEE International Conference on Image Processing, 4, pp. 433-436, 2007.
20. C. Harris and M. Stephens, "A combined corner and edge detector," in Proceedings of the 4th Alvey Vision Conference, pp. 147-151, 1988.
21. T. Gloe, K. Borowka, and A. Winkler, "Feature-based camera model identification works in practice - results of a comprehensive evaluation study," in 11th Information Hiding, Darmstadt, Germany, June 8-10, 2009, Revised Selected Papers, LNCS 5806, pp. 262-276, Springer-Verlag, (Berlin, Heidelberg), 2009.