| bibtype |
J -
Journal Article
|
| ARLID |
0441249 |
| utime |
20240103205743.2 |
| mtime |
20150320235959.9 |
| WOS |
000349635500005 |
| SCOPUS |
84922789672 |
| DOI |
10.1109/LSP.2015.2398033 |
| title
(primary) (eng) |
Quaternion Wiener Deconvolution for Noise Robust Color Image Registration |
| specification |
| page_count |
5 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0253212 |
| ISSN |
1070-9908 |
| title
|
IEEE Signal Processing Letters |
| volume_id |
22 |
| volume |
9 (2015) |
| page_num |
1278-1282 |
| publisher |
| name |
Institute of Electrical and Electronics Engineers |
|
|
| keyword |
Clifford algebra |
| keyword |
multivector derivative |
| keyword |
phase correlation |
| keyword |
quaternion |
| keyword |
Wiener filter |
| author
(primary) |
| ARLID |
cav_un_auth*0293889 |
| name1 |
Pedone |
| name2 |
M. |
| country |
IT |
|
| author
|
| ARLID |
cav_un_auth*0315834 |
| name1 |
Bayro-Corrochano |
| name2 |
E. |
| country |
MX |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| 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*0293890 |
| name1 |
Heikkilä |
| name2 |
J. |
| country |
FI |
|
| source |
|
| cas_special |
| project |
| project_id |
GA13-29225S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0292734 |
|
| abstract
(eng) |
In this letter, we propose a global method for registering color images with respect to translation. Our approach is based on the idea of representing translations as convolutions with unknown shifted delta functions, and performing Wiener deconvolution in order to recover the shift between two images.We then derive a quaternionic version of theWiener deconvolution filter in order to register color images. The use of Wiener filter also allows us to explicitly take into account the effect of noise. We prove that the well-known algorithm of phase correlation is a special case of our method, and we experimentally demonstrate the advantages of our approach by comparing it to other known generalizations of the phase correlation algorithm. |
| reportyear |
2015 |
| RIV |
JD |
| num_of_auth |
4 |
| permalink |
http://hdl.handle.net/11104/0245525 |
| confidential |
S |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
0.862 |
| mrcbT16-s |
0.822 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
73.247 |
| mrcbT16-C |
63.230 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2015 |
| mrcbU14 |
84922789672 SCOPUS |
| mrcbU34 |
000349635500005 WOS |
| mrcbU63 |
cav_un_epca*0253212 IEEE Signal Processing Letters 1070-9908 1558-2361 Roč. 22 č. 9 2015 1278 1282 Institute of Electrical and Electronics Engineers |
|