| bibtype |
J -
Journal Article
|
| ARLID |
0499581 |
| utime |
20240103221319.3 |
| mtime |
20190110235959.9 |
| SCOPUS |
85055995600 |
| WOS |
000455335500002 |
| DOI |
10.1007/s11265-018-1410-7 |
| title
(primary) (eng) |
Image Restoration in Portable Devices: Algorithms and Optimization |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0327766 |
| ISSN |
1939-8018 |
| title
|
Journal of Signal Processing Systems for Signal Image and Video Technology |
| volume_id |
91 |
| volume |
1 (2019) |
| page_num |
9-20 |
| publisher |
|
|
| keyword |
Image restoration |
| keyword |
Denoising |
| keyword |
Super-resolution |
| keyword |
Numerical optimization |
| keyword |
Portable devices |
| author
(primary) |
| ARLID |
cav_un_auth*0213251 |
| full_dept |
Department of Image Processing |
| name1 |
Kamenický |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0101238 |
| name1 |
Zitová |
| name2 |
Barbara |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0370655 |
| name1 |
Hannuksela |
| name2 |
J. |
| country |
FI |
|
| author
|
| ARLID |
cav_un_auth*0370656 |
| name1 |
Turtinen |
| name2 |
M. |
| country |
FI |
|
| source |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0321470 |
| project_id |
621439 |
| agency |
EC |
| country |
XE |
|
| project |
| ARLID |
cav_un_auth*0361425 |
| project_id |
GA18-05360S |
| agency |
GA ČR |
|
| abstract
(eng) |
Image and video data acquired by portable devices such as mobile phones are degraded by noise and blur due to the small size of optical sensors in these devices. A wide range of image restoration methods exists, yet feasibility of these methods in portable platforms is not guaranteed due to limited hardware resources on such platforms. The paper addresses this problem by focusing on denoising algorithms. We have chosen two representatives of denoising methods with state-of-the-art performance, and propose different parallel implementations and algorithmic simplifications suitable for mobile phones. In addition, an extension to resolution enhancement is presented including both visual and quantitative comparisons. Analysis of the algorithms is carried out with respect to the computation time, power consumption and output image quality. |
| result_subspec |
WOS |
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2020 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0292819 |
| cooperation |
| ARLID |
cav_un_auth*0370657 |
| name |
Visidon Ltd |
| country |
FI |
|
| confidential |
S |
| mrcbC86 |
3+4 Article Computer Science Information Systems|Engineering Electrical Electronic |
| mrcbC91 |
C |
| mrcbT16-e |
COMPUTERSCIENCEINFORMATIONSYSTEMS|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
0.192 |
| mrcbT16-s |
0.298 |
| mrcbT16-B |
7.909 |
| mrcbT16-D |
Q4 |
| mrcbT16-E |
Q4 |
| arlyear |
2019 |
| mrcbU14 |
85055995600 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000455335500002 WOS |
| mrcbU63 |
cav_un_epca*0327766 Journal of Signal Processing Systems for Signal Image and Video Technology 1939-8018 1939-8115 Roč. 91 č. 1 2019 9 20 Springer |
|