0450605 20240103211217.620160229235959.9 84956675312 000371977800127 10.1109/ICIP.2015.7350872 Identification of Aliasing-Based Patterns in Re-Captured LCD Screens 5 s. C cav_un_epca*0450645978-1-4799-8339-11522-4880Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015616-620PiscatawayIEEE2015 Image and Video Recapturing Cyclostationary Aliasing Spectral analysis CFA Image forensics cav_un_auth*0206076 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Mahdian Babak UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0283562 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Novozámský Adam UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101189 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Saic Stanislav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/ZOI/novozamsky-0450605.pdf cav_un_auth*0292615 GA13-28462S GA ČR 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. cav_un_auth*0322185 IEEE International Conference on Image Processing 2015, ICIP 2015 27.09.2015-30.09.2015 Québec City CA IN 2016 PR RVO:67985556 http://hdl.handle.net/11104/0251928 S n.a. Proceedings Paper Engineering Electrical Electronic|Imaging Science Photographic Technology 2015 84956675312 SCOPUS 000371977800127 WOS cav_un_epca*0450645 Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015 978-1-4799-8339-1 1522-4880 616 620 Piscataway IEEE 2015