Image Forensic Investigation Using Discrete Cosine Transform-Based Approach

Author:

Monika ,Bansal Dipali,Passi Abhiruchi

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference36 articles.

1. Fridrich, J., Soukal, B. D. & Lukáš, A. J. (2003). Detection of copy-move forgery in digital images. In: Proceedings of Digital Forensic Research Workshop.

2. Popescu, A. C. & Farid, H. (2004). Exposing digital forgeries by detecting duplicated image regions, Tech. Rep. TR2004–515, Dartmouth College.

3. Luo, W., Huang, J. & Qiu, G. (2006). Robust detection of region duplication forgery in digital image. In: Proceedings of the 18th International Conference on Pattern Recognition, vol. 4, pp. 746–749.

4. Mahdian, B., & Saic, S. (2007). Detection of copy-move forgery using a method based on blur moment invariants. Forensic Science International, 171, 180–189.

5. Kang, X. & Wei, S. (2008). Identifying tampered regions using singular value decomposition in digital image forensics. In: Proceedings of International onference on Computer Science and Software Engineering, pp. 926–930

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