| bibtype |
J -
Journal Article
|
| ARLID |
0533754 |
| utime |
20240111141043.3 |
| mtime |
20201102235959.9 |
| SCOPUS |
85090867037 |
| WOS |
000564245800004 |
| DOI |
10.1109/TIP.2020.3016490 |
| title
(primary) (eng) |
Restoration of Fast Moving Objects |
| specification |
| page_count |
13 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0253235 |
| ISSN |
1057-7149 |
| title
|
IEEE Transactions on Image Processing |
| volume_id |
29 |
| volume |
1 (2020) |
| page_num |
8577-8589 |
| publisher |
| name |
Institute of Electrical and Electronics Engineers |
|
|
| keyword |
Blind deconvolution |
| keyword |
motion deblurring |
| keyword |
motion estimation |
| keyword |
shape estimation |
| keyword |
image matting |
| keyword |
alternating direction method of multipliers |
| author
(primary) |
| ARLID |
cav_un_auth*0293863 |
| name1 |
Kotera |
| name2 |
Jan |
| 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 |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0075799 |
| name1 |
Matas |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101209 |
| name1 |
Šroubek |
| name2 |
Filip |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| project_id |
GA18-05360S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0361425 |
|
| abstract
(eng) |
We have proposed a method for restoration of fast moving objects from a single image. If an object is photographed at motion in front of a static background, the object will be blurred while the background sharp and partially occluded by the object. The goal is to recover the object appearance from such blurred image. We adopt the image formation model for fast moving objects and consider objects undergoing 2D translation and rotation. For this scenario we formulate the estimation of the object shape, appearance, and motion from a single image and known background as a constrained optimization problem with appropriate regularization terms. Both similarities and differences with blind deconvolution are discussed with the latter caused mainly by the coupling of the object appearance and shape in the acquisition model. Necessary conditions for solution uniqueness are derived and a numerical solution based on the alternating direction method of multipliers is presented. The proposed method is evaluated on a new dataset. |
| result_subspec |
WOS |
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2021 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0312102 |
| cooperation |
| ARLID |
cav_un_auth*0376357 |
| name |
ČVUT Fakulta elektrotechnická |
| institution |
ČVUT FEL |
| country |
CZ |
|
| confidential |
S |
| mrcbC86 |
2 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic |
| mrcbC91 |
C |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-i |
15.88900 |
| mrcbT16-j |
3.267 |
| mrcbT16-s |
1.778 |
| mrcbT16-B |
97.146 |
| mrcbT16-D |
Q1* |
| mrcbT16-E |
Q1* |
| arlyear |
2020 |
| mrcbU14 |
85090867037 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000564245800004 WOS |
| mrcbU56 |
pdf 2.4MB |
| mrcbU63 |
cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 29 č. 1 2020 8577 8589 Institute of Electrical and Electronics Engineers |
|