A comparative analysis of forgery detection algorithms

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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. © 2012 Springer-Verlag Berlin Heidelberg.

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APA

Cozzolino, D., Poggi, G., Sansone, C., & Verdoliva, L. (2012). A comparative analysis of forgery detection algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7626 LNCS, pp. 693–700). https://doi.org/10.1007/978-3-642-34166-3_76

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