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A Cyclostationarity Analysis Applied to Image Forensics
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SYSNO ASEP 0341899 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A Cyclostationarity Analysis Applied to Image Forensics Author(s) Saic, Stanislav (UTIA-B)
Mahdian, Babak (UTIA-B) RIDSource Title Proceedings of IEEE Workshop on Applications of Computer Vision (WACV 2009).. - : IEEE Piscataway, 2009 - ISSN 1550-5790 - ISBN 978-1-4244-5498-3 Pages s. 279-284 Number of pages 6 s. Publication form CD - CD Action 2009 IEEE Workshop on Applications of Computer Vision (WACV 2009) Event date 07.12. 2009-09.12.2009 VEvent location SnowBird Utah Country US - United States Event type WRD Language eng - English Country US - United States Keywords cyclostationarity ; image processing ; image forgery ; image forensics Subject RIV IN - Informatics, Computer Science R&D Projects GA102/08/0470 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The processing history of images plays an important role in many fields of digital image processing and computer vision. In this paper, we focus on geometrical transformations and show that images that have undergone such transformations contain hidden cyclostationary features. This makes possible employing the well–developed theory and efficient methods of cyclostationarity for blind analyzing of history of images in respect to geometrical transformations. To verify this, we also propose a cyclostationarity detection method and show how the traces of geometrical transformations in an image can be detected and the specific parameters of the transformation estimated. The method is based on the fact that a cyclostationary signal has a frequency spectrum correlated with a shifted version of itself. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
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