Abstract
Recently, the median filtering (MF) detector as a forensic tool for the recovery of images’ processing history has attracted wide interest. In this paper, we focus on two topics: 1) an analysis of the statistics in the difference domain of median filtered images; 2) a new approach based on the statistical characterization in difference domain to overcome the shortages of the prior related works. Specifically, we derive the cumulative distribution function (CDF) of first order differences based on simplifying assumptions, and also study the behavior of adjacent difference pairs in the difference domain for original non-filtered images, median filtered images and average filtered images. We then present a new MF detection scheme based on the statistics in the difference domain of images. Extensive simulations are carried out, which demonstrates that the proposed MF detection scheme is effective and reliable for both uncompressed and JPEG post-compressed images, even in the case of low resolution and strong JPEG compression.
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References
Kirchner, M., Fridrich, J.: On detection of median filtering in digital images. In: Proceedings SPIE, Electronic Imaging, Media Forensics and Security II, vol. 7541, pp. 1–12 (2010)
Cao, G., Zhao, Y., Ni, R., Yu, L., Tian, H.: Forensic detection of median filtering in digital images. In: Proceedings of the 2010 IEEE International Conference on Multimedia and Expo (ICME), pp. 89–94 (2010)
Yuan, H.: Blind Forensics of Median Filtering in Digital Images. IEEE Transactions on Information Forensics and Security 6(4), 1335–1345 (2011)
Popescu, A.C., Farid, H.: Exposing digital forgeries by detecting traces of resampling. IEEE Transactions on Signal Processing 53(2), 758–767 (2005)
Neelamani, R., de Queiroz, R., Fan, Z., Dash, S., Baraniuk, R.G.: JPEG compression history estimation for color images. IEEE Transactions on Image Processing 15(6), 1365–1378 (2006)
Kirchner, M., Böhme, R.: Hiding traces of resampling in digital images. IEEE Transactions on Information Forensics and Security 3(4), 582–592 (2008)
Stamm, M.C., Tjoa, S.K., Lin, W.S., Liu, K.J.R.: Undetectable image tampering through JPEG compression anti-forensics. In: Proc. IEEE Int. Conf. Image Process., pp. 2109–2112 (2010)
Pitas, I., Venetsanopoulos, A.N.: Order statistics in digital image processing. Proceedings of the IEEE 80(12), 1893–1921 (1992)
Bovik, A.C.: Streaking in median filtered images. IEEE Transactions on Acoustics, Speech and Signal Processing 35(4), 493–503 (1987)
Bovik, A.C., Huang, T., Munson, D.: The effect of median filtering on edge estimation and detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 9(2), 181–194 (1987)
Pevný, T., Bas, P., Fridrich, J.: Steganalysis by subtractive pixel adjacency matrix. IEEE Transactions on Information Forensics and Security 5(2), 215–224 (2010)
Bas, P., Furon, T.: BOWS-2, http://bows2.gipsa-lab.inpg.fr
United States Department of Agriculture (2002), Natural resources conservation service photo gallery, http://photogallery.nrcs.usda.gov
Gole, T., Böhme, R.: The ‘Dresden Image Database’ for benchmarking digital image forensics. In: Proceedings of the 2010 ACM Symposium on Applied Computing, March 22-26 (2010)
Hsu, C.W., Chang, C.C., Lin, C.J.: A practical guide to support vector classification, http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf
Hall, M.: Combinatorial Theory, 2nd edn. John Wiley & Sons, Inc., Hoboken (1988)
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Chen, C., Ni, J., Huang, R., Huang, J. (2013). Blind Median Filtering Detection Using Statistics in Difference Domain. In: Kirchner, M., Ghosal, D. (eds) Information Hiding. IH 2012. Lecture Notes in Computer Science, vol 7692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36373-3_1
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DOI: https://doi.org/10.1007/978-3-642-36373-3_1
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