| bibtype |
J -
Journal Article
|
| ARLID |
0638746 |
| utime |
20250909114058.1 |
| mtime |
20250909235959.9 |
| DOI |
10.1016/j.patcog.2025.112358 |
| title
(primary) (eng) |
Cross-Channel Blur Invariants of Color and Multispectral Images |
| specification |
| page_count |
11 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0257388 |
| ISSN |
0031-3203 |
| title
|
Pattern Recognition |
| volume_id |
172 |
| publisher |
|
|
| keyword |
Color image |
| keyword |
Blur Invariants |
| keyword |
Image Recognition |
| keyword |
Cross-Channel invariants |
| author
(primary) |
| ARLID |
cav_un_auth*0457087 |
| name1 |
Košík |
| name2 |
Václav |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| country |
CZ |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| 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 |
| share |
40 |
| garant |
K |
| 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 |
| share |
10 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| project_id |
GA24-10069S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0472834 |
|
| abstract
(eng) |
The paper deals with the recognition of blurred color/multispectral images directly without any deblurring. We present a general theory of invariants of multispectral images with respect to blur. The paper is a significant nontrivial extension of the recent theory of blur invariants of graylevel images. The main original contribution of the paper lies in introducing cross-channel blur invariants in Fourier domain. We also developed an algorithm for their stable and fast calculation in the moment domain. Moreover, the cross-channel invariants can be found for blurs for which single-channel invariants do not exist. The experiments on simulated and real data demonstrate that incorporating the new cross-channel invariants significantly improves the recognition power and surpasses other existing approaches. The outlook for a possible implementation of the blur invariants into neural networks is briefly sketched in the conclusion. |
| result_subspec |
WOS |
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20204 |
| reportyear |
2026 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0369335 |
| confidential |
S |
| article_num |
112358 |
| mrcbC91 |
C |
| mrcbT16-e |
COMPUTERSCIENCE.ARTIFICIALINTELLIGENCE|ENGINEERING.ELECTRICAL&ELECTRONIC |
| mrcbT16-f |
7.9 |
| mrcbT16-g |
1.2 |
| mrcbT16-h |
4.9 |
| mrcbT16-i |
0.04262 |
| mrcbT16-j |
1.782 |
| mrcbT16-k |
44785 |
| mrcbT16-q |
257 |
| mrcbT16-s |
2.058 |
| mrcbT16-y |
46.37 |
| mrcbT16-x |
9.84 |
| mrcbT16-3 |
19851 |
| mrcbT16-4 |
Q1 |
| mrcbT16-5 |
6.100 |
| mrcbT16-6 |
966 |
| mrcbT16-7 |
Q1 |
| mrcbT16-C |
89.3 |
| mrcbT16-M |
1.54 |
| mrcbT16-N |
Q1 |
| mrcbT16-P |
91.1 |
| arlyear |
2026 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0257388 Pattern Recognition 172 1 2026 0031-3203 1873-5142 Elsevier |
|