| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0410479 |
| utime |
20240103182217.0 |
| mtime |
20060210235959.9 |
| ISBN |
0-7695-0750-6 |
| title
(primary) (eng) |
Multichannel blind deconvolution of the short-exposure astronomical images |
| part_num |
3 |
| part_title |
Image, Speech and Signal Processing |
| publisher |
| place |
Los Alamitos |
| name |
IEEE Computer Society |
| pub_time |
2000 |
|
| specification |
|
| serial |
| title
|
Proceedings of the 15th IAPR International Conference on Pattern Recognition |
| page_num |
53-56 |
| editor |
|
| editor |
| name1 |
Villanueva |
| name2 |
J. J. |
|
| editor |
|
|
| author
(primary) |
| ARLID |
cav_un_auth*0101209 |
| name1 |
Šroubek |
| name2 |
Filip |
| 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*0100099 |
| name1 |
Šimberová |
| name2 |
Stanislava |
| institution |
ASU-R |
| full_dept |
Department of Solar Physics - Team 1 |
| fullinstit |
Astronomický ústav AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| 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*0101203 |
| name1 |
Suk |
| name2 |
Tomáš |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| COSATI |
09K |
| cas_special |
| project |
| project_id |
GA102/98/P069 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0004407 |
|
| project |
| project_id |
GA102/00/1711 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0004052 |
|
| research |
AV0Z1075907 |
| abstract
(eng) |
A new multichannel blind deconvolution method based on the subspace technique is presented. When at least two differently degraded images of the original scene are provided, the method is better conditioned than classical single channel ones. In comparison with other multichannel blind deconvolution techniques the subspace method is not iterative and this possibly implies an implementation that can be computationally more efficient. An application of the method to the restoration of sunspot images is given. |
| action |
| ARLID |
cav_un_auth*0212673 |
| name |
IAPR International Conference on Pattern Recognition /15./ |
| place |
Barcelona |
| country |
ES |
| dates |
03.09.2000-07.09.2000 |
|
| RIV |
JD |
| department |
ZOI |
| permalink |
http://hdl.handle.net/11104/0130568 |
| ID_orig |
UTIA-B 20000195 |
| arlyear |
2000 |
| mrcbU10 |
2000 |
| mrcbU10 |
Los Alamitos IEEE Computer Society |
| mrcbU12 |
0-7695-0750-6 |
| mrcbU63 |
Proceedings of the 15th IAPR International Conference on Pattern Recognition 53 56 |
| mrcbU67 |
Sanfeliu A. 340 |
| mrcbU67 |
Villanueva J. J. 340 |
| mrcbU67 |
Vanrell M. 340 |
|