bibtype A - Abstract
ARLID 0444197
utime 20240111140902.7
mtime 20151104235959.9
title (primary) (eng) Advances in image restoration: from theory to practice
specification
page_count 1 s.
media_type C
serial
ARLID cav_un_epca*0445084
ISBN 978-1-62841-494-3
ISSN 0277-786X
title Digital Photography XI
publisher
place Bellingham
name SPIE-IS&T
year 2015
keyword deconvolution
keyword superresolution
keyword review
author (primary)
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2015/ZOI/sroubek-0444197.doc
cas_special
project
project_id M100751201
agency GA AV ČR
country CZ
ARLID cav_un_auth*0289164
project
project_id 621439
country XE
agency EC
ARLID cav_un_auth*0321470
abstract (eng) We rely on images with ever growing emphasis. Our perception of the world is however limited by imperfect measuring conditions and devices used to acquire images. By image restoration, we understand mathematical procedures removing degradation from images. Two prominent topics of image restoration that has evolved considerably in the last 10 years are blind deconvolution and superresolution. Deconvolution by itself is an ill-posed inverse problem and one of the fundamental topics of image processing. The blind case, when the blur kernel is also unknown, is even more challenging and requires special optimization approaches to converge to the correct solution. Superresolution extends blind deconvolution by recovering lost spatial resolution of images. In this talk we will cover the recent advances in both topics that pave the way from theory to practice. Various real acquisition scenarios will be discussed together with proposed solutions for both blind deconvolution and superresolution and efficient numerical optimization methods, which allow fast implementation. Examples with real data will illustrate performance of the proposed solutions.
action
ARLID cav_un_auth*0316974
name Digital Photography and Mobile Imaging XI
place San Francisco
dates 09.02.2015-10.02.2015
country US
reportyear 2016
RIV JD
mrcbC52 4 O 4o 20231122140952.4
presentation_type ZP
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0247496
mrcbC61 1
confidential S
mrcbT16-s 0.223
mrcbT16-E Q4
arlyear 2015
mrcbTft \nSoubory v repozitáři: 0444197.doc
mrcbU56 pdf
mrcbU63 cav_un_epca*0445084 Digital Photography XI 978-1-62841-494-3 0277-786X Bellingham SPIE-IS&T 2015 SPIE Proceedings 9404