| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0537610 |
| utime |
20240111141047.3 |
| mtime |
20210115235959.9 |
| SCOPUS |
85110481971 |
| title
(primary) (eng) |
D3Net: Joint Demosaicking, Deblurring and Deringing |
| specification |
| page_count |
8 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0537613 |
| ISBN |
978-172818808-9 |
| ISSN |
1051-4651 |
| title
|
2021 25th International Conference on Pattern Recognition (ICPR) |
| page_num |
8283-8290 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2021 |
|
|
| keyword |
demosaicking |
| keyword |
deblurring |
| keyword |
deringing |
| keyword |
ADMM |
| keyword |
CNN |
| author
(primary) |
| ARLID |
cav_un_auth*0379363 |
| name1 |
Kerepecký |
| name2 |
Tomáš |
| 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*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 |
|
| cas_special |
| project |
| project_id |
GA20-27939S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0391986 |
|
| project |
| project_id |
AP1701 |
| agency |
AV ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0349658 |
|
| abstract
(eng) |
We have proposed a light-weight neural network architecture D3Net for joint demosaicking, deblurring and deringing by unrolling the ADMM optimization method. |
| action |
| ARLID |
cav_un_auth*0402697 |
| name |
2021 25th International Conference on Pattern Recognition (ICPR) |
| dates |
20210110 |
| mrcbC20-s |
20210115 |
| place |
Milan |
| country |
IT |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20204 |
| reportyear |
2022 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0316066 |
| confidential |
S |
| arlyear |
2021 |
| mrcbU14 |
85110481971 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
pdf 9.2MB |
| mrcbU63 |
cav_un_epca*0537613 2021 25th International Conference on Pattern Recognition (ICPR) 978-172818808-9 1051-4651 8283 8290 Piscataway IEEE 2021 |
|