Algorithms for detection of plain copy-move regions in digital images
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This paper presents two algorithms for detection of plain copy-move regions—fully matching fragments—in images. Both algorithms represent data of the fragment in the form of a hash value, where the hash function is constructed using different mathematical principles: probability-theoretical and numerical-theoretical. The paper presents a comparison of the proposed algorithms, as well as recommendations for their use.
Keywordsearth remote sensing data digital images plain copy-move region hash function bit projecting modular arithmetic principles plain copy-move region detection algorithm
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- 3.N. I. Glumov and A. V. Kuznetsov, “Copy-move image forensics detection,” Computer Optics No. 35(4), 508–512 (2011).Google Scholar
- 4.J. Fridrich and D. Soukal, “Detection of copy-move forgery in digital images,” in Proc. Digital Forensic Research Workshop (Cleveland, 2003), pp. 55–61.Google Scholar
- 5.M. Sridevi, C. Mala, and S. Sanyam, “Comparative study of image forgery and copy-move techniques,” in Proc. 2nd Int. Conf. on Computer Science, Engineering and Applications (ICCSEA 2012) (New Delhi, 2012), pp. 715–723.Google Scholar
- 6.M. V. Gashnikov, N. I. Glumov, N. Yu. Il’yasova, et al., Computer Methods for Image Processing, Ed. by V. A. Soifer (Fizmatlit, Moscow, 2003) [in Russian].Google Scholar
- 7.V. F. Kolchin, B. A. Sevast’yanov, and V. P. Chistyakov, Random Placing (Nauka, Moscow, 1976) [in Russian].Google Scholar
- 9.R. Lidl and H. Niederreiter, Finite Fields (Cambridge Univ. Press, 1997).Google Scholar