Identification Of Aliasing-Based Patterns In Re-Captured Lcd Screens
2015 IEEE International Conference on Image Processing (ICIP)(2015)
摘要
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.
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关键词
Image and Video Recapturing,Cyclostationary,Aliasing,Spectral analysis,CFA,Image forensics
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