0410286 20240103182203.620060210235959.9 80-238-5215-9 Praha Czech Pattern Recognition Society 2000 6 s. 49-54SvobodaT. cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K GA102/00/0030 GA ČR cav_un_auth*0004016 GA106/00/1715 GA ČR cav_un_auth*0005263 ISE-86L8-13 Hewlett Packard US 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. Pixels in the vicinity of steep discontinuities are left unrestored tominimize restoration blurring effect.The degraded image is assumed to follow a causal simultaneous regressive model and the point-spread function is estimated using the local least-square estimate. cav_un_auth*0212624 Czech Pattern Recognition Workshop 2000 Peršlák CZ 02.02.2000-04.02.2000 BD RO http://hdl.handle.net/11104/0130377 UTIA-B 20000002 2000 2000 Praha Czech Pattern Recognition Society 80-238-5215-9 Proceedings of the Czech Pattern Recognition Workshop 2000 49 54 Svoboda T. 340