A simple and effective image-statistics-based approach to detecting recaptured images from LCD screens

Kai Wang 1
1 GIPSA-AGPIG - AGPIG
GIPSA-DIS - Département Images et Signal
Abstract : It is now extremely easy to recapture high-resolution and high-quality images from LCD (Liquid Crystal Display) screens. Recaptured image detection is an important digital forensic problem, as image recapture is often involved in the creation of a fake image in an attempt to increase its visual plausibility. State-of-the-art image recapture forensic methods make use of strong prior knowledge about the recapturing process and are based on either the combination of a group of ad-hoc features or a specific and somehow complicated dictionary learning procedure. By contrast, we propose a conceptually simple yet effective method for recaptured image detection which is built upon simple image statistics and a very loose assumption about the recapturing process. The adopted features are pixel-wise correlation coefficients in image differential domains. Experimental results on two large databases of high-resolution, high-quality recaptured images and comparisons with existing methods demonstrate the forensic accuracy and the computational efficiency of the proposed method.
Type de document :
Article dans une revue
Digital Investigation, Elsevier, 2017, 23, pp.75-87. 〈10.1016/j.diin.2017.10.001〉
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https://hal.archives-ouvertes.fr/hal-01617168
Contributeur : Kai Wang <>
Soumis le : lundi 16 octobre 2017 - 12:04:39
Dernière modification le : lundi 30 avril 2018 - 15:02:01

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Kai Wang. A simple and effective image-statistics-based approach to detecting recaptured images from LCD screens. Digital Investigation, Elsevier, 2017, 23, pp.75-87. 〈10.1016/j.diin.2017.10.001〉. 〈hal-01617168〉

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