bibtype J - Journal Article
ARLID 0559599
utime 20240903204336.3
mtime 20220802235959.9
SCOPUS 85135334269
WOS 000827936600001
DOI 10.5201/ipol.2022.385
title (primary) (eng) Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods
specification
page_count 29 s.
media_type P
serial
ARLID cav_un_epca*0559598
ISSN 2105-1232
title Image Processing On Line
volume_id 12
volume 1 (2022)
page_num 218-246
publisher
name IPOL
keyword image restoration
keyword non-circulant deconvolution
keyword maximum likelihood interpolation
keyword model discrepancies
keyword missing samples
author (primary)
ARLID cav_un_auth*0433868
name1 Dong
name2 Ch.
country SG
author
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0433869
name1 Portilla
name2 J.
country ES
source
source_type pdf
source_size 5MB
url http://library.utia.cas.cz/separaty/2022/ZOI/sroubek-0559599.pdf
source
url https://doi.org/10.5201/ipol.2022.385
cas_special
project
project_id GA20-27939S
agency GA ČR
ARLID cav_un_auth*0391986
abstract (eng) We present spectral pre-adaptation that pre-processes blurred images so they can be restored using fast standard deconvolution algorithms suitable for simplified models.
result_subspec WOS
RIV JD
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2023
num_of_auth 3
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0333417
confidential S
mrcbC86 n.a. Article Computer Science Software Engineering
mrcbC91 A
mrcbT16-s 0.348
mrcbT16-E Q4
arlyear 2022
mrcbU14 85135334269 SCOPUS
mrcbU24 PUBMED
mrcbU34 000827936600001 WOS
mrcbU56 pdf 5MB
mrcbU63 cav_un_epca*0559598 Image Processing On Line 2105-1232 2105-1232 Roč. 12 č. 1 2022 218 246 IPOL