bibtype C - Conference Paper (international conference)
ARLID 0410847
utime 20240103182243.5
mtime 20060210235959.9
ISBN 3-540-44011-9
title (primary) (eng) Recursive model-based colour image restoration
publisher
place Berlin
name Springer
pub_time 2002
specification
page_count 10 s.
edition
name Lecture Notes in Computer Science.
volume_id 2396
serial
title Structural, Syntactic, and Statistical Pattern Recognition. Proceedings
page_num 617-626
editor
name1 Caelli
name2 T.
editor
name1 Amin
name2 A.
editor
name1 Duin
name2 R. P. W.
keyword random fields
keyword image 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.
COSATI 09K
cas_special
project
project_id GA106/00/1715
agency GA ČR
ARLID cav_un_auth*0005263
project
project_id GA102/00/0030
agency GA ČR
ARLID cav_un_auth*0004016
research CEZ:AV0Z1075907
abstract (eng) 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.
action
ARLID cav_un_auth*0212926
name Joint IAPR International Workshops SSPR 2002 and SPR 2002
place Windsor
country CA
dates 06.08.2002-09.08.2002
RIV BD
department RO
permalink http://hdl.handle.net/11104/0130934
ID_orig UTIA-B 20020061
arlyear 2002
mrcbU10 2002
mrcbU10 Berlin Springer
mrcbU12 3-540-44011-9
mrcbU63 Structural, Syntactic, and Statistical Pattern Recognition. Proceedings 617 626
mrcbU67 Caelli T. 340
mrcbU67 Amin A. 340
mrcbU67 Duin R. P. W. 340