0368768 20240103200007.620111208235959.9 000297340300025 82055208501 10.1109/TIP.2011.2159235 6 s. cav_un_epca*02532351057-71492012 (2011)3606-3611Institute of Electrical and Electronics Engineers Blur invariants image moments cav_un_auth*0212473 Kautsky J. AU cav_un_auth*0101087 Flusser Jan 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. http://library.utia.cas.cz/separaty/2011/ZOI/flusser-0368768.pdf GAP103/11/1552 GA ČR cav_un_auth*0273618 CEZ:AV0Z10750506 This paper deals with moment invariants with respect to image blurring. It is mainly a reaction to the works of Zhang et al. and Chen et al., recently published in these Transactions. We present a generalmethod on how to construct blur invariants from arbitrary moments and show that it is no longer necessary to separately derive the invariants for each polynomial basis. We show how to discard dependent terms in blur invariants definition and discuss a proper implementation of the invariants in orthogonal bases using recurrent relations. An example for Legendre moments is given. 2012 JD 2 4 A 4a 20231122134816.1 http://hdl.handle.net/11104/0203017 COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC 3.770 0.378 7.3 0.03717 1.61 12063 296 156 1.516 34.77 4.83 Q1 94.768 92.107 Q1* Q2 2011 Soubory v repozitáři: flusser-0368768.pdf 82055208501 SCOPUS 000297340300025 WOS cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 20 č. 12 2011 3606 3611 Institute of Electrical and Electronics Engineers