bibtype J - Journal Article
ARLID 0411213
utime 20240103182310.3
mtime 20060210235959.9
title (primary) (eng) Weighted thin-plate spline image denoising
specification
page_count 4 s.
serial
ARLID cav_un_epca*0257388
ISSN 0031-3203
title Pattern Recognition
volume_id 36
volume 12 (2003)
page_num 3027-3030
publisher
name Elsevier
keyword image denoising
keyword thin-plate splines
author (primary)
ARLID cav_un_auth*0101125
name1 Kašpar
name2 Roman
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09K
cas_special
project
project_id GP102/01/P065
agency GA ČR
ARLID cav_un_auth*0011048
research CEZ:AV0Z1075907
abstract (eng) This article aims to present new denoising method based on thin-plate splines (TPS). The proposed approach is based on the general TPS denosing, however, its unfavorable smoothing of edges and details is suppressed by introduction of a weighting approach applied locally. The preformance of the method is shown and compared to the original TPS denosing.
RIV JD
department ZOI
permalink http://hdl.handle.net/11104/0131299
ID_orig UTIA-B 20030200
arlyear 2003
mrcbU63 cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 36 č. 12 2003 3027 3030 Elsevier