bibtype C - Conference Paper (international conference)
ARLID 0410386
utime 20240103182210.5
mtime 20060210235959.9
ISBN 0-7695-0750-6
title (primary) (eng) Recursive model-based image restoration
part_num 3
part_title Image, Speech and Signal Processing.
publisher
place Los Alamitos
name IEEE Computer Society
pub_time 2000
specification
page_count 4 s.
serial
title Proceedings of the 15th IAPR International Conference on Pattern Recognition
page_num 346-349
editor
name1 Sanfeliu
name2 A.
editor
name1 Villanueva
name2 J. J.
editor
name1 Vanrell
name2 M.
editor
name1 T.
name2 Huang
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 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 non-causal point-spread function. 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*0212673
name IAPR International Conference on Pattern Recognition /15./
place Barcelona
country ES
dates 03.09.2000-07.09.2000
RIV BD
department RO
permalink http://hdl.handle.net/11104/0130475
ID_orig UTIA-B 20000102
arlyear 2000
mrcbU10 2000
mrcbU10 Los Alamitos IEEE Computer Society
mrcbU12 0-7695-0750-6
mrcbU63 Proceedings of the 15th IAPR International Conference on Pattern Recognition 346 349
mrcbU67 Sanfeliu A. 340
mrcbU67 Villanueva J. J. 340
mrcbU67 Vanrell M. 340
mrcbU67 T. Huang 340