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Journal of Electronic Imaging

Image manipulation detection
Author(s): Sevinc Bayram; Ismail Avcibas; Bülent Sankur; Nasir D. Memon
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Paper Abstract

Techniques and methodologies for validating the authenticity of digital images and testing for the presence of doctoring and manipulation operations on them has recently attracted attention. We review three categories of forensic features and discuss the design of classifiers between doctored and original images. The performance of classifiers with respect to selected controlled manipulations as well as to uncontrolled manipulations is analyzed. The tools for image manipulation detection are treated under feature fusion and decision fusion scenarios.

Paper Details

Date Published: 1 October 2006
PDF: 17 pages
J. Electron. Imaging. 15(4) 041102 doi: 10.1117/1.2401138
Published in: Journal of Electronic Imaging Volume 15, Issue 4
Show Author Affiliations
Sevinc Bayram, Uludag Üniv. (Turkey)
Ismail Avcibas, Uludag Üniv. (Turkey)
Bülent Sankur, Bogaziçi Univ. (Turkey)
Nasir D. Memon, Polytechnic Univ. (United States)


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