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An efficient and robust method for detecting copy-move forgery
Abstract
Copy-move forgery is a specific type of image tampering, where a part of the image is copied and pasted on another part of the same image. In this paper, we propose a new approach for detecting copy-move forgery in digital images, which is considerably more robust to lossy compression, scaling and rotation type of manipulations. Also, to improve the computational complexity in detecting the duplicated image regions, we propose to use the notion of counting bloom filters as an alternative to lexicographic sorting, which is a common component of most of the proposed copy-move forgery detection schemes. Our experimental results show that the proposed features can detect duplicated region in the images very accurately, even when the copied region was undergone severe image manipulations. In addition, it is observed that use of counting bloom filters offers a considerable improvement in time efficiency at the expense of a slight reduction in the robustness.
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Cited by
An Evaluation of Popular Copy-Move Forgery Detection Approaches
Christlein, V., Riess, C., Jordan, J., Riess, C., & Angelopoulou, E. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2218597 · Cited by 802
Efficient Dense-Field Copy–Move Forgery Detection
Cozzolino, D., Poggi, G., & Verdoliva, L. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2455334 · Cited by 451
Information Forensics: An Overview of the First Decade
Stamm, M. C., Wu, M., & Liu, K. J. R. (2013) · IEEE Access · doi:10.1109/access.2013.2260814 · Cited by 394
Detection of Copy-Rotate-Move Forgery Using Zernike Moments
Ryu, S.-J., Lee, M.-J., & Lee, H.-K. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-16435-4_5 · Cited by 321
Metadata
- Authors
- Bayram, S., Taha Sencar, H., & Memon, N.
- Venue
- 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
- Publisher
- IEEE
- Published
- 2009-04
- Pages
- 1053-1056
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2119952502
- Cited by
- 491
- References
- 0
- FWCI
- 21.54
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Bayram, S., Taha Sencar, H., & Memon, N. (2009). An efficient and robust method for detecting copy-move forgery. 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. https://doi.org/10.1109/icassp.2009.4959768
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