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Review of Copy-Move Forgery Detection of Images using Discrete Cosine Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 84 - Number 15 |
| Year of Publication: 2013 |
| Authors: Angom Buboo Singh, Swapan Deb Barma, Kh. Manglem Singh |
10.5120/14651-2930
|
Angom Buboo Singh, Swapan Deb Barma, Kh. Manglem Singh . Review of Copy-Move Forgery Detection of Images using Discrete Cosine Transform. International Journal of Computer Applications. 84, 15 ( December 2013), 12-15. DOI=10.5120/14651-2930
Abstract
With the easy availability of cheap digital cameras and powerful image editing software, image forgery is becoming one of the most common cyber-crime. Image forgery is used not only for political, social or financial gain but also for defamation, harassment and also a part of various other cyber-crimes. One of the most common types of image forgery is the copy-move forgery where a part of the image is copied and pasted on another region of the same image. This is mostly done either to highlight an object in the image of to hide or delete an object in the image. There are various techniques to detect these type of image forgery and are commonly referred to as Copy Move Forgery Detection (CMFD). In this paper a review of the basic CMFD algorithm based on Discrete Cosine Transformation (DCT) proposed by Fridrich et. al [1] is given. The algorithm performs robust block matching and exhibit good results and is the basis of many other CMFD algorithms.
References
- A. Fridrich, et al. , Detection of Copy-move Forgery in Digital Images, 2003.
- H. Farid. Digital doctoring: can we trust photographs? http://www. ists. dartmouth. edu/library/327. pdf, 2008.
- J. W. Woods. Multidimensional Signal, Image, and Video Processing and Coding. Elsevier, Academic Press, 2006.
- G. K. Wallace. The jpeg still picture compression standard. Commun. ACM, 34:30–44, 1991
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