0339845 20240111140736.820100302235959.9 8 s. www cav_un_epca*0333960978-3-642-10682-8683-690BerlinSpringer2009LeungC.S.LeeM.ChanJ.H. Interpolation scaling cyclostationary authentication image forensics cav_un_auth*0101189 Saic Stanislav Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0206076 Mahdian Babak Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2010/ZOI/babak-a cyclostationarity analysis applied to scaled images.pdf GA102/08/0470 GA ČR cav_un_auth*0239565 CEZ:AV0Z10750506 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. cav_un_auth*0257132 ICONIP 2009. International Conference on Neural Information Processing /16./ Bangkok 01.12.2009-05.12.2009 TH 2010 IN http://hdl.handle.net/11104/0183248 2009 pdf cav_un_epca*0333960 Neural Information Processing 978-3-642-10682-8 683 690 Berlin Springer 2009 Lecture Notes in Computer Science 5864 Leung C.S. 340 Lee M. 340 Chan J.H. 340