We propose a new feature-based algorithm to detect image splicings without any prior information. Local features are computed from the co-occurrence of image residuals and used to extract synthetic feature parameters. Splicing and host images are assumed to be characterized by different parameters. These are learned by the image itself through the expectation-maximization algorithm together with the segmentation in genuine and spliced parts. A supervised version of the algorithm is also proposed. Preliminary results on a wide range of test images are very encouraging, showing that a limited-size, but meaningful, learning set may be sufficient for reliable splicing localization.

Splicebuster: A new blind image splicing detector / Cozzolino, Davide; Poggi, Giovanni; Verdoliva, Luisa. - (2015), pp. 1-6. (Intervento presentato al convegno IEEE International Workshop on Information Forensics and Security, WIFS 2015 tenutosi a ita nel 2015) [10.1109/WIFS.2015.7368565].

Splicebuster: A new blind image splicing detector

COZZOLINO, DAVIDE;POGGI, GIOVANNI;VERDOLIVA, LUISA
2015

Abstract

We propose a new feature-based algorithm to detect image splicings without any prior information. Local features are computed from the co-occurrence of image residuals and used to extract synthetic feature parameters. Splicing and host images are assumed to be characterized by different parameters. These are learned by the image itself through the expectation-maximization algorithm together with the segmentation in genuine and spliced parts. A supervised version of the algorithm is also proposed. Preliminary results on a wide range of test images are very encouraging, showing that a limited-size, but meaningful, learning set may be sufficient for reliable splicing localization.
2015
9781467368025
9781467368025
Splicebuster: A new blind image splicing detector / Cozzolino, Davide; Poggi, Giovanni; Verdoliva, Luisa. - (2015), pp. 1-6. (Intervento presentato al convegno IEEE International Workshop on Information Forensics and Security, WIFS 2015 tenutosi a ita nel 2015) [10.1109/WIFS.2015.7368565].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/654224
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