A Comparative Study of SVD, PCA and Clustering Techniques of Copy Move Forgery

Jaspreet Minhas, Baldeep Singh


Nowadays, several image manipulation soft-wares are available. Images manipulation has become a serious problem. There are many areas like medical imaging, digital forensics, journalism, scientific publications, etc, where image forgery can be done very easily and it’s very difficult to find the original one. To determine whether a digital image is original or forged is a big challenge. To find the marks of tampering in a digital image is a very challenging task. The detection methods can be very useful in image forensics which can be used as a proof for the authenticity of a digital image as well as it reduce the risk of forgery. A copy-move image forgery is done either for hiding some image features, or adding more in a particular image. In both the case, image reliability is lost. Although this technology brings many advantages but it can be used as a tool for hiding original features and evidences of an image. In this paper we review and discuss SVD, PCA and clustering techniques for copy move forgery.


Copy move forgery, PCA, SVD, Clustering.

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DOI: https://doi.org/10.26483/ijarcs.v8i4.3768


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