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Jul. 2022
Submitted Papers : 80
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  Journal Paper


Paper Title :
Digital Image Forensics Using Non-Linear Dimensionality Reduction Technique

Author :Anil Dada Warbhe, R. V. Dharaskar, V. M. Thakare

Article Citation :Anil Dada Warbhe ,R. V. Dharaskar ,V. M. Thakare , (2015 ) " Digital Image Forensics Using Non-Linear Dimensionality Reduction Technique " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 9-12, Volume-3,Issue-12

Abstract : Powerful and sophisticated digital image editing tools has made producing good quality forgeries very easily for almost everyone. Therefore, it is very important to identify the given image as original and without any modification. Digital Image Forensics is spurring field among researchers to answer this. In this context, proving the authenticity and integrity of digital images becomes increasingly important. In this paper, we propose a simple method to detect image tampering operations of the copy-paste forgery nature. We use a block based approach for the detection of copy-paste tampering in digital images. The proposed method uses nonlinear dimensionality reduction algorithm as a basis. Our preliminary results show that the proposed algorithm performs well for copy-paste forgery detection and can be used to identify tampered areas of the digital images. Keywords- Digital Image Forensics, Copy-Paste Forgery, Dimensionality Reduction.

Type : Research paper

Published : Volume-3,Issue-12


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