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 |
|
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 |
|