bibtype	C - Conference Paper (international conference)
ARLID	0083802
utime	20240103184252.8
mtime	20070710235959.9
title (primary) (eng)	Probabilistic suppression of astronomical image degradations
specification	page_count 4 s.
serial	ARLID cav_un_epca*0091087 ISBN 978-3-938616-84-0 title Modern solar facilities - advanced solar science page_num 127-130 publisher place Göttingen name Universitätsverlag Göttingen year 2007 editor name1 Kneer name2 F. editor name1 Puschmann name2 K.G. editor name1 Wittmann name2 A.D.
title (cze)	Pravděpodobnostní restaurace degradací astronomických obrazů
keyword	image restoration
keyword	multichannel restoration
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.
author	ARLID cav_un_auth*0100099 name1 Šimberová name2 Stanislava institution ASU-R full_dept Department of Solar Physics - Team 1 fullinstit Astronomický ústav AV ČR, v. v. i.
source	url http://www.sub.uni-goettingen.de
cas_special	project project_id 507752 country XE agency EC ARLID cav_un_auth*0200689 project project_id 1M0572 agency GA MŠk ARLID cav_un_auth*0001814 project project_id 2C06019 agency GA MŠk country CZ ARLID cav_un_auth*0216518 project project_id 1QS300120506 agency GA AV ČR ARLID cav_un_auth*0000906 project project_id GA102/04/0155 agency GA ČR ARLID cav_un_auth*0001806 project project_id 1ET400750407 agency GA AV ČR ARLID cav_un_auth*0001797 project project_id IAA2075302 agency GA AV ČR ARLID cav_un_auth*0001801 research CEZ:AV0Z10750506 research CEZ:AV0Z10030501 abstract (eng) A multichannel fast adaptive recursive restoration method based on the underlying spatial probabilistic image model is presented. The method assumes linear degradation model with the unknown, possibly non-homogeneous point-spread function, and additive noise for each of mutually registered degraded observations. Pixels in the vicinity of image steep discontinuities are left unrestored to minimize restoration blurring effects. Our method is completely autonomous and does not assume any knowledge of the underlying degradation process. It is applied to a sequence of short-exposure solar photosphere images and it can be also easily and naturally generalized for multispectral (e.g. colour, multispectral satellite images) or registered images which is seldom the case for alternative methods. abstract (cze) Článek popisuje novou vícekanálovou rychlou adaptivní metodu restaurace obrazu založenou na prostorovém pravděpodobnostním modelu. Metoda předpokládá lineární degradační model s neznámou, potencionálně nehomogenní funkcí rozptylu bodu. Pixely v okolí výrazných nespojitostí se nerestaurují, aby se omezilo rozmazání obrazu. Metoda je zcela autonomní a nepředpokládá žádnou znalost degradačního procesu. Je aplikována na sekvenci obrazů solární fotosféry, ale snadno může být zobecněna i na jiný typ obrazů, což je většinou nemožné u alternativních metod. action ARLID cav_un_auth*0235395 name Modern solar facilities - advanced solar science place Göttingen dates 27.09.2006-29.09.2006 country DE reportyear 2008 RIV BD permalink http://hdl.handle.net/11104/0146908 arlyear 2007 mrcbU63 cav_un_epca*0091087 Modern solar facilities - advanced solar science 978-3-938616-84-0 127 130 Göttingen Universitätsverlag Göttingen 2007 mrcbU67 Kneer F. 340 mrcbU67 Puschmann K.G. 340 mrcbU67 Wittmann A.D. 340