| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0381515 |
| utime |
20240111140820.5 |
| mtime |
20121107235959.9 |
| WOS |
000342820400046 |
| DOI |
10.1007/978-3-642-33715-4_46 |
| title
(primary) (eng) |
Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0382719 |
| ISBN |
978-3-642-33715-4 |
| ISSN |
0302-9743 |
| title
|
Computer Vision – ECCV 2012 |
| part_title |
Lecture Notes in Computer Science |
| page_num |
636-647 |
| publisher |
| place |
Berlin |
| name |
Springer |
| year |
2012 |
|
|
| keyword |
blind deconvolution |
| keyword |
motion blur |
| keyword |
PSF |
| author
(primary) |
| ARLID |
cav_un_auth*0284209 |
| name1 |
Zhu |
| name2 |
X. |
| country |
US |
|
| 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*0274481 |
| name1 |
Milanfar |
| name2 |
P. |
| country |
US |
|
| source |
|
| cas_special |
| project |
| project_id |
VG20102013064 |
| agency |
GA MV |
| ARLID |
cav_un_auth*0273814 |
|
| project |
| project_id |
GAP103/11/1552 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273618 |
|
| abstract
(eng) |
In this paper, instead of estimating the PSFs directly and only once from the observed images, we first generate a rough estimate of the PSFs using a robust multichannel deconvolution algorithm, and then “deconvolve the PSFs” to refine the outputs. Simulated and real data experiments show that this strategy works quite well for motion blurred images, producing state of the art results. |
| action |
| ARLID |
cav_un_auth*0284210 |
| name |
ECCV12 - 12th European Conference on Computer Vision |
| place |
Florence |
| dates |
07.10.2012-13.10.2012 |
| country |
IT |
|
| reportyear |
2013 |
| RIV |
JD |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0211967 |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods|Imaging Science Photographic Technology |
| mrcbT16-q |
100 |
| mrcbT16-s |
0.314 |
| mrcbT16-y |
16.66 |
| mrcbT16-x |
0.49 |
| mrcbT16-4 |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2012 |
| mrcbU34 |
000342820400046 WOS |
| mrcbU56 |
pdf 2MB |
| mrcbU63 |
cav_un_epca*0382719 Computer Vision – ECCV 2012 978-3-642-33715-4 0302-9743 636 647 Berlin Springer 2012 7576 Lecture Notes in Computer Science |
|