International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Sep. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 90
Paper Published : 1248
No. of Authors : 3136
  Journal Paper

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

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.


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

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| Published on 2015-12-15
   
   
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