bibtype	C - Conference Paper (international conference)
ARLID	0410286
utime	20240103182203.6
mtime	20060210235959.9
ISBN	80-238-5215-9
title (primary) (eng)	Edge preserving model-based image restoration
publisher	place Praha name Czech Pattern Recognition Society pub_time 2000
specification	page_count 6 s.
serial	title Proceedings of the Czech Pattern Recognition Workshop 2000 page_num 49-54 editor name1 Svoboda name2 T.
author (primary)	ARLID cav_un_auth*0101093 name1 Haindl name2 Michal institution UTIA-B full_dept Department of Pattern Recognition fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI	09K
cas_special	project project_id GA102/00/0030 agency GA ČR ARLID cav_un_auth*0004016 project project_id GA106/00/1715 agency GA ČR ARLID cav_un_auth*0005263 project project_id ISE-86L8-13 agency Hewlett Packard country US research AV0Z1075907 abstract (eng) 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. action ARLID cav_un_auth*0212624 name Czech Pattern Recognition Workshop 2000 place Peršlák country CZ dates 02.02.2000-04.02.2000 RIV BD department RO permalink http://hdl.handle.net/11104/0130377 ID_orig UTIA-B 20000002 arlyear 2000 mrcbU10 2000 mrcbU10 Praha Czech Pattern Recognition Society mrcbU12 80-238-5215-9 mrcbU63 Proceedings of the Czech Pattern Recognition Workshop 2000 49 54 mrcbU67 Svoboda T. 340