bibtype C - Conference Paper (international conference)
ARLID 0442676
utime 20240103205915.7
mtime 20150515235959.9
WOS 000349328300046
SCOPUS 84923010501
DOI 10.1117/12.2073820
title (primary) (eng) Improving the blind restoration of retinal images by means of point-spread-function estimation assessment
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0444004
ISBN 978-1-62841-362-5
ISSN 0277-786X
title Proceedings of 10th International Seminar on Medical Information Processing and Analysis (SIPAIM) 2014
publisher
place Washington
name SPIE
year 2015
keyword medical imaging
keyword deconvolution
keyword deblurring
author (primary)
ARLID cav_un_auth*0275488
name1 Marrugo
name2 A.
country ES
author
ARLID cav_un_auth*0278222
name1 Millán
name2 M. S.
country ES
author
ARLID cav_un_auth*0108377
name1 Šorel
name2 Michal
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0293863
name1 Kotera
name2 Jan
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2015/ZOI/sorel-0442676.pdf
cas_special
project
project_id GA13-29225S
agency GA ČR
ARLID cav_un_auth*0292734
abstract (eng) Retinal images often suffer from blurring which hinders disease diagnosis and progression assessment. The restoration of the images is carried out by means of blind deconvolution, but the success of the restoration depends on the correct estimation of the point-spread-function (PSF) that blurred the image. The restoration can be space-invariant or space-variant. Because a retinal image has regions without texture or sharp edges, the blind PSF estimation may fail. In this paper we propose a strategy for the correct assessment of PSF estimation in retinal images for restoration by means of space-invariant or space-variant blind deconvolution. Our method is based on a decomposition in Zernike coe cients of the estimated PSFs to identify valid PSFs. This signicantly improves the quality of the image restoration revealed by the increased visibility of small details like small blood vessels and by the lack of restoration artifacts.
action
ARLID cav_un_auth*0316785
name International Symposium on Medical Information Processing and Analysis 2014 /10./
place Cartagena de Indias
dates 10.10.2014-16.10.2014
country CO
reportyear 2016
RIV JD
num_of_auth 5
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0246617
mrcbC61 1
confidential S
mrcbT16-s 0.223
mrcbT16-E Q4
arlyear 2015
mrcbU14 84923010501 SCOPUS
mrcbU34 000349328300046 WOS
mrcbU63 cav_un_epca*0444004 Proceedings of 10th International Seminar on Medical Information Processing and Analysis (SIPAIM) 2014 978-1-62841-362-5 0277-786X Washington SPIE 2015 SPIE proceedings 9287