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Image manipulation detection

Image manipulation detection 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Electronic Imaging SPIE

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Publisher
SPIE
Copyright
Copyright © 2006 SPIE and IS&T
ISSN
1017-9909
eISSN
1560-229X
DOI
10.1117/1.2401138
Publisher site
See Article on Publisher Site

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.

Journal

Journal of Electronic ImagingSPIE

Published: Oct 1, 2006

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