| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0434275 |
| utime |
20240111140853.3 |
| mtime |
20150106235959.9 |
| SCOPUS |
84949929119 |
| WOS |
000370063604133 |
| DOI |
10.1109/ICIP.2014.7025911 |
| title
(primary) (eng) |
Understanding image priors in blind deconvolution |
| specification |
| page_count |
5 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0434274 |
| ISBN |
978-1-4799-5751-4 |
| title
|
2014 IEEE International Conference on Image Processing |
| page_num |
4492-4496 |
| publisher |
| place |
USA |
| name |
IEEE |
| year |
2014 |
|
|
| keyword |
blind deconvolution |
| keyword |
variational Bayes |
| keyword |
automatic relevance determination |
| author
(primary) |
| ARLID |
cav_un_auth*0101209 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Šroubek |
| name2 |
Filip |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101207 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| name1 |
Šmídl |
| name2 |
Václav |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0293863 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Kotera |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292734 |
| project_id |
GA13-29225S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0308955 |
| project_id |
GAUK 938213 |
| agency |
Grantová agentura UK |
| country |
CZ |
|
| abstract
(eng) |
Removing blurs from a single degraded image without any knowledge of the blur kernel is an ill-posed blind deconvolution problem. Proper estimators together with correct image priors play a fundamental role in accurate blind deconvolution. We demonstrate a superior performance of the variational Bayesian estimator and discuss suitability of automatic relevance determination distributions as image priors. Restoration of real photos blurred by out-of-focus and motion blur, and comparison with a state-of-the-art method is provided. |
| action |
| ARLID |
cav_un_auth*0308954 |
| name |
2014 IEEE International Conference on Image Processing |
| dates |
27.10.2014-30.10.2014 |
| place |
Paris |
| country |
FR |
|
| RIV |
JD |
| reportyear |
2015 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0241853 |
| confidential |
S |
| arlyear |
2014 |
| mrcbU14 |
84949929119 SCOPUS |
| mrcbU34 |
000370063604133 WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0434274 2014 IEEE International Conference on Image Processing 978-1-4799-5751-4 4492 4496 USA IEEE 2014 |
|