Abstract
Copy-move forgery, or region-duplication, is a common type of digital image tampering. This paper presents a novel approach to detect copy-move forgery even if rotation and/or scaling took place before copying. The image under test is divided into fixed-size blocks, and log-polar Fourier transform (LPFT) is performed on the inscribed circles of these blocks. Similarity in the LPFT between different patches provides an indication of the copy-move operation. Experimental results show efficacy of the proposed method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Fridrich, J., Soukal, D., Lukas, J.: Detection of copy-move forgery. In: Proc. of Digital Forensic Research Workshop, pp. 178–183 (2000)
Popescu, A.C., Farid, H.: Exposing digital forgeries by detecting duplicated image regions. Dept. Comput. Sci., Dartmouth College, Tech. Rep. TR2004-515 (2004)
Mahdian, B., Saic, S.: Detection of copy-move forgery using a method based on blur moment invariants. Forensic Sci. Int. 171, 180–189 (2007)
Myrna, A., Venkateshmurthy, M., Patil, C.: Detection of region duplication forgery in digital images using wavelets and log-polar mapping. In: Proc. of International Conference on Computational Intelligence and Multimedia Applications, pp. 371–377 (2007)
Bravo, S., Nunez, A.: Passive forensic method for detecting duplicated regions affected by reflection, rotation and scaling. In: Proc. of European Signal Processing Conference, pp. 824–828 (2009)
Zokai, S., Wolberg, G.: Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations. IEEE Trans. Image Processing 14(10), 1422–1434 (2005)
Lin, C.-Y., Wu, M., Bloom, J., Cox, I., Lui, Y.: Rotation, scale, and translation resilient watermarking for images. IEEE Trans. Image Processing 10(5), 767–782 (2001)
Bayram, S., Sencar, H., Memon, N.: An efficient and robust method for detecting copy-move forgery. In: Proc. of International Conference on Acoustics, Speech, and Signal Processing, pp. 1053–1056 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, Q., Wang, S., Zhang, X. (2010). Detection of Image Region-Duplication with Rotation and Scaling Tolerance. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16693-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-16693-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16692-1
Online ISBN: 978-3-642-16693-8
eBook Packages: Computer ScienceComputer Science (R0)