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
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-3434
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Copyright: © Institute of Research and Journals
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Published on 2015-12-15 |
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