| bibtype |
J -
Journal Article
|
| ARLID |
0360217 |
| utime |
20240903170622.9 |
| mtime |
20110707235959.9 |
| WOS |
000293207900009 |
| title
(primary) (eng) |
Multichannel deblurring of digital images |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0297163 |
| ISSN |
0023-5954 |
| title
|
Kybernetika |
| volume_id |
47 |
| volume |
3 (2011) |
| page_num |
439-454 |
| publisher |
| name |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
|
| keyword |
image restoration |
| keyword |
blind deconvolution |
| keyword |
deblurring |
| 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 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Blur is a common problem that limits the effective resolution of many imaging systems. In this article, we give a general overview of methods that can be used to reduce the blur. This includes the classical multi-channel deconvolution problems as well as challenging extensions to spatially varying blur. The proposed methods are formulated as energy minimization problems with specific regularization terms on images and blurs. Experiments on real data illustrate very good and stable performance of the methods. |
| reportyear |
2012 |
| RIV |
JD |
| mrcbC52 |
4 A O 4a 4o 20231122134557.0 |
| permalink |
http://hdl.handle.net/11104/0197820 |
| mrcbT16-e |
COMPUTERSCIENCECYBERNETICS |
| mrcbT16-f |
0.473 |
| mrcbT16-g |
0.033 |
| mrcbT16-h |
9.5 |
| mrcbT16-i |
0.0016 |
| mrcbT16-j |
0.277 |
| mrcbT16-k |
403 |
| mrcbT16-l |
61 |
| mrcbT16-q |
21 |
| mrcbT16-s |
0.307 |
| mrcbT16-y |
20.45 |
| mrcbT16-x |
0.61 |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
23.915 |
| mrcbT16-C |
17.500 |
| mrcbT16-D |
Q4 |
| mrcbT16-E |
Q3 |
| arlyear |
2011 |
| mrcbTft |
\nSoubory v repozitáři: sorel-0360217.pdf, 0360217.pdf |
| mrcbU34 |
000293207900009 WOS |
| mrcbU63 |
cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 47 č. 3 2011 439 454 Ústav teorie informace a automatizace AV ČR, v. v. i. |
|