0410847 20240103182243.520060210235959.9 3-540-44011-9 Berlin Springer 2002 10 s. Lecture Notes in Computer Science. 2396 617-626CaelliT.AminA.DuinR. P. W. random fields image restoration cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K GA106/00/1715 GA ČR cav_un_auth*0005263 GA102/00/0030 GA ČR cav_un_auth*0004016 CEZ:AV0Z1075907 This paper presents a derivation of a fast recursive filter for colour 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 to minimize restoration blurring effect. The degraded image is assumed to follow a causal simultaneous multidimensional regressive model and the point-spread function is estimated using the local least-square estimate. cav_un_auth*0212926 Joint IAPR International Workshops SSPR 2002 and SPR 2002 Windsor CA 06.08.2002-09.08.2002 BD RO http://hdl.handle.net/11104/0130934 UTIA-B 20020061 2002 2002 Berlin Springer 3-540-44011-9 Structural, Syntactic, and Statistical Pattern Recognition. Proceedings 617 626 Caelli T. 340 Amin A. 340 Duin R. P. W. 340