| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0385357 |
| utime |
20240103201737.9 |
| mtime |
20121220235959.9 |
| WOS |
000316318400076 |
| DOI |
10.1109/DICTA.2012.6411740 |
| title
(primary) (eng) |
Fine Structure Recognition in Multichannel Observations |
| specification |
| page_count |
7 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0385356 |
| ISBN |
978-1-4673-2180-8 |
| title
|
International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012 |
| page_num |
1-7 |
| publisher |
| place |
Piscataway |
| name |
IEEE Press |
| year |
2012 |
|
|
| keyword |
image restoration |
| keyword |
image recognition |
| author
(primary) |
| ARLID |
cav_un_auth*0100099 |
| name1 |
Šimberová |
| name2 |
Stanislava |
| full_dept (cz) |
Sluneční oddělení |
| full_dept (eng) |
Department of Solar Physics |
| institution |
ASU-R |
| full_dept |
Department of Solar Physics - Team 1 |
| fullinstit |
Astronomický ústav AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| 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 |
|
| cas_special |
| project |
| project_id |
409/2011 |
| agency |
CESNET |
| country |
CZ |
|
| project |
| project_id |
GAP103/11/1552 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273618 |
|
| project |
| project_id |
GA102/08/1593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239572 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| abstract
(eng) |
Two restoration methods applied to the multitemporal solar images are presented. Our main goal is to model and remove degradation in a subimage, where a specific event is investigated. Using information of the input (blurred) channels within a short observed sequence a new undegraded image is reconstructed. Degradation is assumed to follow a linear degradation model with an unknown possibly non-homogeneous point spread function (PSF) and additive noise. The first method ({/bf VAM}) is based on multichannel blind deconvolution (MBD) using a variational approach to blur estimation, while the second one ({/bf SAM}) supposes solution of the multidimensional causal regressive model representing the degraded image (channel). Experimental image data are from the ground based observation (white light) and satellite SOHO mission - EIT (EUV). Contributions of both suggested methods and their generalization are discussed. |
| action |
| ARLID |
cav_un_auth*0286770 |
| name |
International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012 |
| place |
Fremantle |
| dates |
03.12.2012-05.12.2012 |
| country |
AU |
|
| reportyear |
2013 |
| RIV |
BD |
| num_of_auth |
3 |
| presentation_type |
PR |
| mrcbC55 |
ASU-R BN |
| inst_support |
RVO:67985556 |
| inst_support |
RVO:67985815 |
| permalink |
http://hdl.handle.net/11104/0007445 |
| arlyear |
2012 |
| mrcbU34 |
000316318400076 WOS |
| mrcbU63 |
cav_un_epca*0385356 International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012 978-1-4673-2180-8 1 7 Piscataway IEEE Press 2012 |
|