| bibtype |
J -
Journal Article
|
| ARLID |
0454335 |
| utime |
20240103211638.1 |
| mtime |
20160215235959.9 |
| SCOPUS |
85016219716 |
| WOS |
000383905800023 |
| DOI |
10.1109/TIP.2015.2512108 |
| title
(primary) (eng) |
Recognition of Images Degraded by Gaussian Blur |
| specification |
| page_count |
17 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0253235 |
| ISSN |
1057-7149 |
| title
|
IEEE Transactions on Image Processing |
| volume_id |
25 |
| volume |
2 (2016) |
| page_num |
790-806 |
| publisher |
| name |
Institute of Electrical and Electronics Engineers |
|
|
| keyword |
Blurred image |
| keyword |
object recognition |
| keyword |
blur invariant comparison |
| keyword |
Gaussian blur |
| keyword |
projection operators |
| keyword |
image moments |
| keyword |
moment invariants |
| author
(primary) |
| ARLID |
cav_un_auth*0101087 |
| 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 |
| name1 |
Flusser |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0317051 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Farokhi |
| name2 |
Sajad |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0282545 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Höschl |
| name2 |
Cyril |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101203 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Suk |
| name2 |
Tomáš |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101238 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Zitová |
| name2 |
Barbara |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0293889 |
| name1 |
Pedone |
| name2 |
M. |
| country |
IT |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0314467 |
| project_id |
GA15-16928S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
In this paper, we propose a new theory of invariants to Gaussian blur. We introduce a notion of a primordial image as a canonical form of all Gaussian blur-equivalent images. The primordial image is defined in spectral domain by means of projection operators. We prove that the moments of the primordial image are invariant to Gaussian blur and we derive recursive formulas for their direct computation without actually constructing the primordial image itself. We show how to extend their invariance also to image rotation. The application of these invariants is in blur-invariant image comparison and recognition. In the experimental part, we perform an exhaustive comparison with two main competitors: 1) the Zhang distance and 2) the local phase quantization. |
| RIV |
JD |
| reportyear |
2017 |
| num_of_auth |
6 |
| mrcbC52 |
4 A hod 4ah 20231122141444.9 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0257080 |
| mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS |
| confidential |
S |
| mrcbC86 |
1* Article Computer Science Artificial Intelligence|Engineering Electrical Electronic |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
1.826 |
| mrcbT16-s |
1.749 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
92.179 |
| mrcbT16-D |
Q1* |
| mrcbT16-E |
Q1* |
| arlyear |
2016 |
| mrcbTft |
\nSoubory v repozitáři: flusser-0454335.pdf |
| mrcbU14 |
85016219716 SCOPUS |
| mrcbU34 |
000383905800023 WOS |
| mrcbU63 |
cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 25 č. 2 2016 790 806 Institute of Electrical and Electronics Engineers |
|