Study and Analysis of Image Reconstruction Techniques for Fraud and Tamper Detection in Authenticity Verification
Sonal Sharma1, Preeti Tul2
1Sonal Sharma, Department of Computer Science & Engineering, Disha Institute of Management & Technology, Raipur (C.G), India.
2Preeti Tuli, Department of Computer Science & Engineering, Disha Institute of Management & Technology, Raipur (C.G), India.
Manuscript received on 18 August 2012 | Revised Manuscript received on 25 August 2012 | Manuscript published on 30 August 2012 | PP: 145-148 | Volume-1 Issue-3, August 2012 | Retrieval Number: C0289071312/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image reconstruction is a very important research problem with respect to information security. Digital image reconstruction is a robust means by which the underlying images can be revealed and analyzed for any fraud. One of the principal problems in image forensics and security systems is determining if a particular image is authentic or not. This can be a crucial task when images are used as basic evidence to influence judgment like, for example, in a court of law. To carry out such forensic analysis, various technological instruments have been developed in the literature. In this paper the problem of detecting if an image has been forged is investigated. To detect such tampering, a novel methodology based on image reconstruction is proposed. Such a method allows understanding with high reliability whether an attack has occurred.
Keywords: Gradient, Poisson Equation, Region of Interest (ROI), Digital Image Forensics, Authenticity Verification, Image Reconstruction from Projections
Scope of the Article: Image Processing