Robust median filtering forensics using an autoregressive model

IEEE Transactions on Information Forensics and Security

Volumn 8, Issue 9, 2013, Pages 1456-1468

  Kang, Xiangui ^a,b   Stamm, Matthew C ^a   Peng, Anjie ^b   Liu, K J Ray ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b SUN YAT SEN UNIVERSITY   (China)

Author keywords

autoregressive model; image forensics; Median filtering; noise residual

Indexed keywords

AUTO REGRESSIVE MODELS; EDITING OPERATIONS; FORENSIC TECHNIQUES; IMAGE FORENSICS; LOCALIZED FILTERING; MEDIAN FILTERING; NOISE RESIDUAL; STATISTICAL PROPERTIES;

COMPUTER NETWORKS; SAFETY ENGINEERING;

MEDIAN FILTERS;

EID: 84882957962     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2013.2273394     Document Type: Article

References (28)

1. M. Kirchner and J. Fridrich, "On detection of median filtering in digital images," in Proc. SPIE, Electron. Imaging, Media Forensics and Security II, 2010, vol. 7541, pp. 1-12.
2. H. Yuan, "Blind forensics of median filtering in digital images," IEEE Trans. Inf. Forensics Security, vol. 6, no. 4, pp. 1335-1345, Dec. 2011.
3. G. Cao, Y. Zhao, R. Ni, L. Yu, and H. Tian, "Forensic detection of median filtering in digital images," in Proc. 2010 IEEE Int. Conf. Multimedia and EXPO 2010, 2010, pp. 89-94.
4. C. Chen, J. Ni, R. Huang, and J. Huang, "Blind median filtering detection using statistics in difference domain," in Proc. Inform. Hiding 2012, Berkerly, CA, USA, May 2012.
5. A. C. Popescu and H. Farid, "Exposing digital forgeries by detecting traces of resampling," IEEE Trans. Signal Process., vol. 53, no. 2, pt. 2, pp. 758-767, Feb. 2005. (Pubitemid 40181769)
6. M. C. Stamm and K. J. R. Liu, "Forensic detection of image manipulation using statistical intrinsic fingerprints," IEEE Trans. Inf. Forensics Security, vol. 5, no. 3, pp. 492-506, Sep. 2010.
7. M. C. Stamm and K. J. R. Liu, "Anti-forensics of digital image compression," IEEE Trans. Inf. Forensics Security, vol. 6, no. 3, pp. 1050-1065, Sep. 2011.
8. A. E. Dirik and N. Memon, "Image tamper detection based on demosaicing artifacts," in Proc. Int. Conf. Image Processing, Cairo, 2009.
9. M. Kirchner and R. Böhme, "Hiding traces of resampling in digital images," IEEE Trans. Inf. Forensics Security, vol. 3, no. 4, pp. 582-592, Dec. 2008.
10. A. C. Bovik, "Streaking in median filtered images," IEEE Trans. on Acoust., Speech and Signal Processing, vol. 35, no. 4, pp. 493-503, Apr. 1987.
11. A. Swaminathan, M.Wu, and K. J. R. Liu, "Digital image forensics via intrinsic fingerprints," IEEE Trans. Inf. Forensics Security, vol. 3, no. 1, pp. 101-117, Mar. 2008. (Pubitemid 351270076)
12. W. H. Chuang, A. Swaminathan, andM.Wu, "Tampering identification using empirical frequency response," in Proc. IEEE Int. Conf. Acoust., Speech and Signal Processing, 2009, pp. 1517-1520.
13. T. Pevný, P. Bas, and J. Fridrich, "Steganalysis by subtractive pixel adjacency matrix," IEEE Trans. Inf. Forensics Security, vol. 5, no. 2, pp. 215-224, Jun. 2010.
14. A. D. Ker and R. Böhme, "Revisiting weighted stego-image stegoanalysis," in Proc. SPIE, Electron. Imaging: Security, Forensics, Steganography and Watermarking of Multimedia Contents X, 2008, vol. 6819, p. 5.
15. T. Pevny and J. Fridrich, "Detection of double-compression in JPEG images for applications in steganography," IEEE Trans. Inf. Forensics Security, vol. 3, no. 2, pp. 247-258, Jun. 2008. (Pubitemid 351709458)
16. W. Luo, J. Huang, and G. Qiu, "JPEG error analysis and its applications to digital image forensics," IEEE Trans. Inf. Forensics Security, vol. 5, no. 3, pp. 480-491, Sep. 2010.
17. W. S. Lin, S. K. Tjoa, H. V. Zhao, and K. J. R. Liu, "Digital image source coder forensics via intrinsic fingerprints," IEEE Trans. Inf. Forensics Security, vol. 4, no. 3, pp. 492-506, Sep. 2009.
18. G. Schaefer and M. Stich, "UCID-An uncompressed color image database," in Proc. SPIE, Storage and Retrieval Methods and Applicat. for Multimedia, 2004, pp. 472-480.
19. C.-C. Chang and C.- J. Lin, "LIBSVM: A library for support vector machines," ACM Trans. on Intelligent Syst. and Technol., pp. 2:27:1-27:27, 2011.
20. S. M. Kay, Modern Spectral Estimation: Theory and Application. Englewood Cliffs, NJ, USA: Prentice-Hall, 1998.
21. G. Cao, Y. Zhao, R. Ni, and A. Kot, "Unsharp masking sharpening detection via overshoot artifacts analysis," IEEE Signal Process. Lett., vol. 18, no. 10, pp. 603-606, Oct. 2011.
22. S. Bayram, I. Avcubas, B. Sankur, and N. Memon, "Image manipulation detection," J. Electron. Imag., vol. 15, no. 4, pp. 04110201-4110217, 2006.
23. X. Kang, M. C. Stamm, A. Peng, and K. J. R. Liu, "Robust median filtering forensics based on the autoregressive model of median filter residual," in Proc. APSIPA Annu. Submit Conf. 2012, Los Angles, CA, USA, Dec. 2012.
24. C. Chen and J. Ni, "Median filtering detection using edge based prediction matrix," in Proc. IWDW 2011, Atlantic City, NJ, USA, Dec. 2011.
25. BOSS [Online]. Available: http://exile.felk.cvut.cz/boss/BOSSFinal/ index.php?mode=VIEW&tmpl=materials
26. P. Bas and T. Furon, Break OurWatermarking System [Online]. Available: http://bows2.ec-lille.fr/ 2nd
27. T. Gloe and R. Böhme, "Dresden Image Database for benchmarking digital image forensics," in Proc. 2010 ACM Symp. on Appl. Computing, Sierre, Switzerland, Mar. 22-26, 2010, pp. 1584-1590.
28. Natural Resources Conservation Service Photo Gallery, United States Department of Agriculture [Online]. Available: http://photogallery.nrcs.usda.gov