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A Cyclostationarity Analysis Applied to Scaled Images
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SYSNO ASEP 0339845 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A Cyclostationarity Analysis Applied to Scaled Images Author(s) Saic, Stanislav (UTIA-B)
Mahdian, Babak (UTIA-B) RIDSource Title Neural Information Processing. - Berlin : Springer, 2009 / Leung C.S. ; Lee M. ; Chan J.H. - ISBN 978-3-642-10682-8 Pages s. 683-690 Number of pages 8 s. Publication form www - www Action ICONIP 2009. International Conference on Neural Information Processing /16./ Event date 01.12.2009-05.12.2009 VEvent location Bangkok Country TH - Thailand Event type WRD Language eng - English Country DE - Germany Keywords Interpolation ; scaling ; cyclostationary ; authentication ; 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 knowledge of image’s geometric history plays an important role in image signal compression, image registration, image retrieval and especially in image forensics. In this paper we focus on scaling and show that images that have undergone scaling contain hidden cyclostationary features. This makes possible employing the well–developed theory and efficient methods of cyclostationarity for a blind analyzing of the history of images in respect to scaling transformation. To verify this, we also propose a cyclostationarity detection method applied to our problem and show how the traces of scaling 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. A quantitative measure of the efficiency of the method is proposed as well. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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