| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0533761 |
| utime |
20240111141043.3 |
| mtime |
20201102235959.9 |
| SCOPUS |
85098628719 |
| DOI |
10.1109/ICIP40778.2020.9191316 |
| title
(primary) (eng) |
Motion Blur Prior |
| specification |
| page_count |
5 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0533760 |
| ISBN |
978-1-7281-6396-3 |
| ISSN |
1522-4880 |
| title
|
2020 IEEE International Conference on Image Processing (ICIP) |
| page_num |
928-932 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2020 |
|
|
| keyword |
deblurring |
| keyword |
deconvolution |
| keyword |
motion blur |
| keyword |
atomic norm |
| keyword |
convolutional sparse coding |
| author
(primary) |
| ARLID |
cav_un_auth*0101209 |
| name1 |
Šroubek |
| name2 |
Filip |
| institution |
UTIA-B |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0293863 |
| name1 |
Kotera |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA18-05360S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0361425 |
|
| abstract
(eng) |
We have proposed a novel methodology for generating priors that favor motion blur. Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most common forms are simple uniform distributions with domain constraints. We propose a more informative blur prior based on the notion of atomic norm which favors blurs composed of line segments and is suitable for motion blur. The prior is formulated as a linear program that can be inserted into any optimization task. Evaluation is conducted on blind deblurring of moving objects. |
| action |
| ARLID |
cav_un_auth*0398419 |
| name |
2020 IEEE International Conference on Image Processing (ICIP) |
| dates |
20201025 |
| mrcbC20-s |
20201028 |
| place |
Abu Dhabi |
| country |
AE |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2021 |
| num_of_auth |
2 |
| mrcbC52 |
4 A sml 4as 20231122145221.5 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0312100 |
| confidential |
S |
| contract |
| name |
IEEE COPYRIGHT AND CONSENT FORM |
| date |
20200131 |
|
| arlyear |
2020 |
| mrcbTft |
\nSoubory v repozitáři: sroubek-0533761-CopyrightReceipt3.pdf |
| mrcbU14 |
85098628719 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
pdf 0.3MB |
| mrcbU63 |
cav_un_epca*0533760 2020 IEEE International Conference on Image Processing (ICIP) 978-1-7281-6396-3 1522-4880 2381-8549 928 932 Piscataway IEEE 2020 |
|