A comparative analysis of forgery detection algorithms

Authors:
Davide Cozzolino;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva
Affiliations:
Department of Electrical Engineering and Information Technologies, University Federico II of Naples, Naples, Italy;Department of Electrical Engineering and Information Technologies, University Federico II of Naples, Naples, Italy;Department of Electrical Engineering and Information Technologies, University Federico II of Naples, Naples, Italy;Department of Electrical Engineering and Information Technologies, University Federico II of Naples, Naples, Italy
Venue:
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2012

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Abstract

The aim of this work is to make an objective comparison between different forgery techniques and present a tool that helps taking a more reliable decision about the integrity of a given image or part of it. The considered techniques, all recently proposed in the scientific community, follow different and complementary approaches so as to guarantee robustness with respect to tampering of different types and characteristics. Experiments have been conducted on a large set of images using an automatic copy-paste tampering generator. Early results point out significant differences about competing techniques, depending also on complexity and side information.