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A study on features for the detection of copy-move forgeries

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2010

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Gesellschaft für Informatik e.V.

Zusammenfassung

Blind image forensics aims to assess image authenticity. One of the most popular families of methods from this category is the detection of copy-move forgeries. In the past years, more than 15 different algorithms have been proposed for copy-move forgery detection. So far, the efficacy of these approaches has barely been examined. In this paper, we: a) present a common pipeline for copy-move forgery detection, b) perform a comparative study on 10 proposed copy-move features and c) introduce a new benchmark database for copy-move forgery detection. Experiments show that the recently proposed Fourier-Mellin features perform outstandingly if no geometric transformations are applied to the copied region. Furthermore, our experiments strongly support the use of kd-trees for the matching of similar blocks instead of lexicographic sorting.

Beschreibung

Christlein, Vincent; Riess, Christian; Angelopoulou, Elli (2010): A study on features for the detection of copy-move forgeries. Sicherheit 2010. Sicherheit, Schutz und Zuverlässigkeit. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-264-2. pp. 105-116. Regular Research Papers. Berlin. 5.-7. Oktober 2010

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