| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0450662 |
| utime |
20240103211221.5 |
| mtime |
20160229235959.9 |
| SCOPUS |
84956630926 |
| WOS |
000371977802039 |
| DOI |
10.1109/ICIP.2015.7351167 |
| title
(primary) (eng) |
PSF accuracy measure for evaluation of blur estimation algorithms |
| specification |
| page_count |
5 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0450645 |
| ISBN |
978-1-4799-8339-1 |
| ISSN |
1522-4880 |
| title
|
Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015 |
| page_num |
2080-2084 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2015 |
|
|
| keyword |
image deconvolution |
| keyword |
blur estimation |
| keyword |
PSF error |
| keyword |
PSF comparison |
| keyword |
image restoration |
| author
(primary) |
| ARLID |
cav_un_auth*0293863 |
| 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 |
Kotera |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101238 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Zitová |
| name2 |
Barbara |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101209 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
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. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292734 |
| project_id |
GA13-29225S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0302211 |
| project_id |
938213/2013 |
| agency |
GA UK |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0306850 |
| project_id |
7H14004 |
| agency |
GA MŠk |
|
| abstract
(eng) |
Given the large amount of blur estimation and blind deconvolution methods just in the last decade, there is an increasing need to compare the performance of a particular method with others. Unlike in other fields in image processing, there are very few well-established benchmark databases of test data and, more importantly, no standard way of performance evaluation. In this paper, we focus on the latter. We propose a new error measure for the blur kernel – a method for comparison of the blur estimate with the ground truth – which correctly reflects how inaccuracies in the blur estimation affect the subsequent image restoration, without the necessity to perform the actual deconvolution. |
| action |
| ARLID |
cav_un_auth*0322185 |
| name |
IEEE International Conference on Image Processing 2015, ICIP 2015 |
| dates |
27.09.2015-30.09.2015 |
| place |
Québec City |
| country |
CA |
|
| RIV |
JD |
| reportyear |
2016 |
| num_of_auth |
3 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0251951 |
| confidential |
S |
| arlyear |
2015 |
| mrcbU14 |
84956630926 SCOPUS |
| mrcbU34 |
000371977802039 WOS |
| mrcbU63 |
cav_un_epca*0450645 Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015 978-1-4799-8339-1 1522-4880 2080 2084 Piscataway IEEE 2015 |
|