bibtype	A - Abstract
ARLID	0080188
utime	20240103183953.8
mtime	20070314235959.9
title (primary) (eng)	Probabilistic suppression of astronomical degradations
specification	page_count 1 s.
serial	ARLID cav_un_epca*0080377 title Proceedings of Abstracts of Modern Solar Facilities - Advanced Solar Science page_num 1-1 publisher place Göttingen name Universitätsverlag Göttingen year 2007
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.
COSATI	09K
cas_special	project project_id 1ET400750407 agency GA AV ČR ARLID cav_un_auth*0001797 project project_id 1M0572 agency GA MŠk ARLID cav_un_auth*0001814 project project_id GA102/04/0155 agency GA ČR ARLID cav_un_auth*0001806 project project_id 2C06019 agency MŠk ARLID cav_un_auth*0216518 research CEZ:AV0Z10750506 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 effect. The method is completely autonomous and doesn't assume any knowledge of the underlying degradation process. The algorithm is verified on the artificial data with known ideal image. In the multichannel input are blurred channels created from the ideal image using various degradation functions. Then the method is applied to the real optical solar data. The experiments are carried on the synthetic data set and on a sequence of the short-exposure solar photosphere images. The multichannel input is presented by the temporal plains of a data cube. The results are compared under the most frequented criterions of image quality. The method 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) Viz. anglický abstrakt. 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 2007 RIV BD permalink http://hdl.handle.net/11104/0144596 arlyear 2007 mrcbU63 cav_un_epca*0080377 Proceedings of Abstracts of Modern Solar Facilities - Advanced Solar Science 1 1 Göttingen Universitätsverlag Göttingen 2007