| bibtype |
J -
Journal Article
|
| ARLID |
0522528 |
| utime |
20240103223808.1 |
| mtime |
20200226235959.9 |
| WOS |
000530845000012 |
| SCOPUS |
85079864481 |
| DOI |
10.1016/j.patcog.2020.107264 |
| title
(primary) (eng) |
Handling Gaussian Blur without Deconvolution |
| specification |
| page_count |
11 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0257388 |
| ISSN |
0031-3203 |
| title
|
Pattern Recognition |
| volume_id |
103 |
| publisher |
|
|
| keyword |
Gaussian blur |
| keyword |
Semi-group |
| keyword |
Projection operator |
| keyword |
Blur invariants |
| keyword |
Image moments |
| keyword |
Affine transformation |
| keyword |
Combined invariants |
| author
(primary) |
| ARLID |
cav_un_auth*0336802 |
| full_dept |
Department of Image Processing |
| name1 |
Kostková |
| name2 |
Jitka |
| 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*0101087 |
| full_dept |
Department of Image Processing |
| name1 |
Flusser |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0377447 |
| full_dept |
Department of Image Processing |
| name1 |
Lébl |
| name2 |
Matěj |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0389933 |
| name1 |
Pedone |
| name2 |
M. |
| country |
FI |
|
| source |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0360229 |
| project_id |
GA18-07247S |
| agency |
GA ČR |
|
| abstract
(eng) |
The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated. Such blurring is a semi-group action in the image space, where the orbits are classes of blur-equivalent images. We propose a non-linear projection operator which extracts blur-insensitive component of the image. The invariants are then formally defined as moments of this component but can be computed directly from the blurred image without an explicit construction of the projections. Image description by the new invariants does not require any prior knowledge of the blur kernel parameters and does not include any deconvolution. The invariance property could be extended also to linear transformation of the image coordinates and combined affine-blur invariants can be constructed. Experimental comparison to three other blur-invariant methods is given. Potential applications of the new invariants are in blur/position invariant image recognition and in robust template matching. |
| reportyear |
2021 |
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| num_of_auth |
4 |
| mrcbC52 |
4 A sml 4as 20231122144807.8 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0307360 |
| mrcbC61 |
1 |
| confidential |
S |
| contract |
| name |
Assignment of Copyright |
| date |
20200215 |
|
| article_num |
107264 |
| mrcbC86 |
2 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic |
| mrcbC91 |
C |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-i |
6.85393 |
| mrcbT16-j |
1.761 |
| mrcbT16-s |
1.492 |
| mrcbT16-B |
89.179 |
| mrcbT16-D |
Q1* |
| mrcbT16-E |
Q1 |
| arlyear |
2020 |
| mrcbTft |
\nSoubory v repozitáři: flusser-0522528-copyright.docx |
| mrcbU14 |
85079864481 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000530845000012 WOS |
| mrcbU63 |
cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 103 č. 1 2020 Elsevier |
|