bibtype M - Monography Chapter
ARLID 0348438
utime 20240103194012.9
mtime 20110228235959.9
DOI 10.1201/9781439819319-8
title (primary) (eng) Towards super-resolution in the presence of spatially varying blur
specification
page_count 32 s.
book_pages 472
serial
ARLID cav_un_epca*0348437
ISBN 978-1-4398-1930-2
title Super-resolution imaging
page_num 1-38
publisher
place Boca Raton
name CRC Press
year 2010
editor
name1 Milanfar
name2 Peyman
keyword image processing
keyword image restoration
keyword super-resolution
author (primary)
ARLID cav_un_auth*0108377
name1 Šorel
name2 Michal
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.
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.
author
ARLID cav_un_auth*0101087
name1 Flusser
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.
source
url http://library.utia.cas.cz/separaty/2010/ZOI/sorel-0348438.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id GA102/08/1593
agency GA ČR
ARLID cav_un_auth*0239572
research CEZ:AV0Z10750506
abstract (eng) The effective resolution of an imaging system is limited not only by the physical resolution of an image sensor but also by blur. If the blur is present, super-resolution makes little sense without removing the blur. Some super-resolution methods considering space-invariant blur are described in other chapters of this book. The presence of a /emph{spatially varying blur} makes the problem much more challenging and for the present, there are almost no algorithms designed specifically for this case. We argue that the critical part of such algorithms is precise estimation of the varying blur, which depends to large extent on a specific application and type of blur. In this chapter, we discuss possible sources of spatially varying blur, such as defocus, camera motion or object motion. In each case we review known approaches to blur estimation, illustrate their performance on experiments with real data and indicate problems that must be solved to be applicable in super-resolution algorithms.
reportyear 2011
RIV JD
mrcbC52 4 A 4a 20231122134209.6
permalink http://hdl.handle.net/11104/0188977
arlyear 2010
mrcbTft \nSoubory v repozitáři: sorel-0348438.pdf
mrcbU63 cav_un_epca*0348437 Super-resolution imaging 978-1-4398-1930-2 1 38 Boca Raton CRC Press 2010
mrcbU67 Milanfar Peyman 340