0411006 20240103182255.120060210235959.9 1-58603-2976 Amsterdam IOS Press 2002 10 s. Frontiers in Artificial Intelligence and Applications. Knowledge-Based Intelligent Engineering Systems. 87 697-706AbrahamA.Ruiz-del-SolarJ.KoppenM. image restoration cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0100099 Šimberová Stanislava ASU-R Department of Solar Physics - Team 1 Astronomický ústav AV ČR, v. v. i. 09K GA102/00/0030 GA ČR cav_un_auth*0004016 GA106/00/1715 GA ČR cav_un_auth*0005263 GA102/00/1711 GA ČR cav_un_auth*0004052 CEZ:AV0Z1075907 This paper presents a derivation of a fast recursive filter for image restoration if degradation obeys a linear degradation model with the unknown possibly non-homogeneous point-spread function. It is assumed that for every ideal undegraded image several degraded observed images are available. Pixels in the vicinity of steep discontinuities are left unrestored to minimize restoration blurring effect. BD RO http://hdl.handle.net/11104/0131093 UTIA-B 20020220 2002 2002 Amsterdam IOS Press 1-58603-2976 Soft Computing Systems Design, Management and Applications 697 706 Abraham A. 340 Ruiz-del-Solar J. 340 Koppen M. 340