Exposing digital image forgeries by detecting discrepancies in motion blur

IEEE Transactions on Multimedia

Volumn 13, Issue 3, 2011, Pages 443-452

  Kakar, Pravin ^a   Sudha, N ^a   Ser, Wee ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Image cepstrum; image forgery detection; motion blur estimation

Indexed keywords

CEPSTRUM; DIGITAL IMAGE; IMAGE FORGERY DETECTION; IMAGE GRADIENTS; IMAGE SPLICING; MOTION BLUR; NOVEL METHODS; QUANTITATIVE COMPARISON; REGION SEGMENTATION;

COMPUTER CRIME; COMPUTER GRAPHICS;

IMAGE SEGMENTATION;

EID: 79957502155     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2011.2121056     Document Type: Conference Paper

References (33)

1. Museum of Hoaxes. [Online]. Available: http://www.museumofhoaxes. com/hoax/photo-database/image/tourist-guy/.
2. B. Mahdian and S. Saic, "A bibliography on blind methods for identifying image forgery," Image Commun., vol. 25, no. 6, pp. 389-399, 2010.
3. A. Popescu and H. Farid, "Exposing digital forgeries by detecting traces of resampling," IEEE Trans. Signal Process., vol. 53, no. 2, pp. 758-767, Feb. 2005. (Pubitemid 40181769)
4. H. Farid, Detecting Digital Forgeries Using Bispectral Analysis, Massachusetts Inst. Technol., Cambridge, MA, 1999, Tech. Rep. AIM-1657.
5. M. Johnson and H. Farid, "Exposing digital forgeries by detecting inconsistencies in lighting," in Proc. 7th Workshop Multimedia and Security, 2005, pp. 1-10.
6. M. Johnson and H. Farid, "Exposing digital forgeries in complex lighting environments," IEEE Trans. Inf. Forensics Security, vol. 2, no. 3, pt. 1, pp. 450-461, Sep. 2007. (Pubitemid 47290579)
7. M. Johnson and H. Farid, "Exposing digital forgeries through chromatic aberration," in Proc. 8th Workshop Multimedia and Security, 2006, pp. 48-55. (Pubitemid 44729575)
8. M. Johnson and H. Farid, Metric Measurements on a Plane From a Single Image, Dept. Comput. Sci., Dartmouth College, 2006, Tech. Rep. TR2006-579.
9. G. Cao, Y. Zhao, and R. Ni, "Edge-based blur metric for tamper detection," J. Inf. Hiding Multimedia Signal Process., vol. 2073, p. 4212, 2009.
10. B. Mahdian and S. Saic, "Detection of copy-move forgery using a method based on blur moment invariants," Forensic Sci. Int., vol. 171, no. 2-3, pp. 180-189, 2007. (Pubitemid 47211748)
11. Y. Yun, J. Lee, D. Jung, D. Har, and J. Choi, "Detection of digital forgeries using an image interpolation from digital images," in Proc. IEEE Int. Symp. Consumer Electronics, 2008, pp. 1-4.
12. S. Bayram, H. Sencar, and N. Memon, "An efficient and robust method for detecting copy-move forgery," in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, 2009, pp. 1053-1056.
13. D. Hsiao and S. Pei, "Detecting digital tampering by blur estimation," in Proc. 1st IEEE Int. Workshop Systematic Approaches to Digital Forensic Engineering, 2005, pp. 264-278.
14. X.Wang, B. Xuan, and S. Peng, "Digital image forgery detection based on the consistency of defocus blur," in Proc. Int. Conf. Intelligent Information Hiding and Multimedia Signal Processing, 2008, pp. 192-195.
15. L. Zhou, D. Wang, Y. Guo, and J. Zhang, "Blur detection of digital forgery using mathematical morphology," Lecture Notes Comput. Sci., vol. 4496, pp. 990-998, 2007.
16. J. Zhang and Y. Su, "Detecting logo-removal forgery by inconsistencies of blur," in Proc. Int. Conf. Industrial Mechatronics and Automation, 2009, pp. 1-4.
17. P. Kakar, N. Sudha, and W. Ser, "Detecting digital image forgeries through inconsistent motion blur," in Proc. IEEE Int. Conf. Multimedia & Expo, 2010, pp. 486-491.
18. A. Rav-Acha and S. Peleg, "Two motion-blurred images are better than one," Pattern Recognit. Lett., vol. 26, no. 3, pp. 311-318, 2005.
19. X. Liu and A. G. El, "Simultaneous image formation and motion blur restoration via multiple capture," in Proc. IEEE Int. Conf. Acoustics Speech And Signal Processing, 2001, vol. 3, pp. 1841-1844. (Pubitemid 32838965)
20. D. Gennery, "Determination of optical transfer function by inspection of frequency-domain plot," J. Opt. Soc. Amer. (1917-1983), vol. 63, p. 1571, 1973.
21. M. Cannon, "Blind deconvolution of spatially invariant image blurs with phase," IEEE Trans. Acoust., Speech, Signal Process., vol. 24, no. 1, pp. 58-63, Feb. 1976. (Pubitemid 8037997)
22. I. Rekleitis, "Steerable filters and cepstral analysis for optical flow calculation from a single blurred image," Vis. Interface, vol. 1, pp. 159-166, 1996.
23. H. Ji and C. Liu, "Motion blur identification from image gradients," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008, pp. 1-8.
24. S. Dai and Y. Wu, "Motion from blur," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008, pp. 1-8.
25. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 6, no. 6, pp. 721-741, Nov. 1984. (Pubitemid 15453722)
26. P. Marziliano, F. Dufaux, S.Winkler, and T. Ebrahimi, "A no-reference perceptual blur metric," in Proc. IEEE Int. Conf. Image Processing, Citeseer, 2002, vol. 3, pp. 57-60.
27. N. Otsu, "A threshold selection method from gray-level histograms," Automatica, vol. 11, pp. 285-296, 1975.
28. Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimization via graph cuts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 11, pp. 1222-1239, Nov. 2002.
29. A. Levin, A. Rav-Acha, and D. Lischinski, "Spectral matting," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2007, pp. 1-8.
30. Flickr. [Online]. Available: http://www.flickr.com.
31. D. Huttenlocher, G. Klanderman, and W. Rucklidge, "Comparing images using the Hausdorff distance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 15, no. 9, pp. 850-863, Sep. 1993. (Pubitemid 23703609)
32. X.Yu,M. Leung, and Y. Gao, "Hausdorff distance for shape matching," in Proc. 4th IASTED Int. Conf. Visualization, Image and Image Processing, 2004.
33. M.-P. Dubuisson and A. Jain, "A modified Hausdorff distance for object matching," in Proc. IAPR Int. Conf. Computer Vision Image Processing, Oct. 1994, pp. 566-568.