Identification of Aliasing-Based Patterns in Re-Captured LCD Screens

0450605 - ÚTIA 2016 RIV CA eng C - Konferenční příspěvek (zahraniční konf.)
Mahdian, Babak - Novozámský, Adam - Saic, Stanislav
Identification of Aliasing-Based Patterns in Re-Captured LCD Screens.
Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015. Piscataway: IEEE, 2015, s. 616-620. ISBN 978-1-4799-8339-1. ISSN 1522-4880.
[IEEE International Conference on Image Processing 2015, ICIP 2015. Québec City (CA), 27.09.2015-30.09.2015]
Grant CEP: GA ČR GA13-28462S
Institucionální podpora: RVO:67985556
Klíčová slova: Image and Video Recapturing * Cyclostationary * Aliasing * Spectral analysis * CFA * Image forensics
Kód oboru RIV: IN - Informatika
http://library.utia.cas.cz/separaty/2015/ZOI/novozamsky-0450605.pdf

In this paper we address the problem of identification of pictures and videos re-captured from LCD screens. We show that they often exhibit detectable periodic patterns that are caused by regular sampling grid of LCD screen and aliasing. We develop a method capable of detecting these patterns by using the theory of cyclostationarity. The term cyclostationarity refers to a special class of signals which exhibit periodicity in their statistics. Such signals have a frequency spectrum correlated with a shifted version of itself. Experimental results quantifying the performance of the developed method are also shown.
Trvalý link: http://hdl.handle.net/11104/0251928