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Journal of Software Engineering
  Year: 2015 | Volume: 9 | Issue: 3 | Page No.: 487-503
DOI: 10.3923/jse.2015.487.503
A Copy-Move Forgery Image Blind Authentication Approach Based on Radon-Pseudo-Fourier-Mellin-Transform
Junliu Zhong and Yanfen Gan

Abstract:
Copy-move forgery is a common type of image forgery. In the past decades, various types of copy-move forgery image blind authentication approaches have been proposed and these approaches have been used to detect blind forgery images in a number of applications fields. But the robustness of these previously blind authentication approaches against noise and geometric deformation is poor. In this study, the moment invariants which were review are successfully applied in the field of forgery image detection and authentication. Then a new novel approach was proposed for copy-move forgery which is to construct its rotation and scaling moment invariants by using Radon-Pseudo-Fourier-Mellin-Transforms (RPFMT) approach. The experimental results show that the proposed approach can detect copy-move region accurately, even when the copied region was undergone a large angel rotation and scaling tampered. In addition, the robustness of the proposed approach to additive-White Gaussian Noise is greatly improved in comparison with some recent approaches.
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How to cite this article:

Junliu Zhong and Yanfen Gan, 2015. A Copy-Move Forgery Image Blind Authentication Approach Based on Radon-Pseudo-Fourier-Mellin-Transform. Journal of Software Engineering, 9: 487-503.

DOI: 10.3923/jse.2015.487.503

URL: https://scialert.net/abstract/?doi=jse.2015.487.503

 
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