bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0508020 |
utime |
20240103222501.8 |
mtime |
20190904235959.9 |
SCOPUS |
85072869244 |
DOI |
10.1007/978-3-030-29888-3_34 |
title
(primary) (eng) |
Robust Histogram Estimation Under Gaussian Noise |
specification |
page_count |
12 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0508720 |
ISBN |
978-3-030-29929-3 |
title
|
Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings |
page_num |
421-432 |
publisher |
place |
Cham |
name |
Springer |
year |
2019 |
|
editor |
|
editor |
name1 |
Percannella |
name2 |
G. |
|
editor |
name1 |
Colantonio |
name2 |
S. |
|
editor |
|
editor |
name1 |
Matuszewski |
name2 |
B. J. |
|
editor |
|
editor |
|
|
keyword |
Gaussian additive noise |
keyword |
Multidimensional histogram |
keyword |
Invariant characteristics |
keyword |
Moments |
keyword |
Projection operator |
author
(primary) |
ARLID |
cav_un_auth*0336802 |
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 |
full_dept |
Department of Image Processing |
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 |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0360229 |
project_id |
GA18-07247S |
agency |
GA ČR |
|
abstract
(eng) |
We present a novel approach to description of a multidimensional image histogram insensitive with respect to an additive Gaussian noise in the image. The proposed quantities, although calculated from the histogram of the noisy image, represent the histogram of the original clear image. Noise estimation, image denoising and histogram deconvolution are avoided.We construct projection operators, that divide the histogram into non-Gaussian and Gaussian part, which is consequently removed to ensure the invariance. The descriptors are based on the moments of the histogram of the noisy image. The method can be used in a histogrambased image retrieval systems. |
action |
ARLID |
cav_un_auth*0380252 |
name |
International Conference on Computer Analysis of Images and Patterns, CAIP 2019 /18./ |
dates |
20190902 |
mrcbC20-s |
20190906 |
place |
Salerno |
country |
IT |
|
RIV |
JD |
FORD0 |
20000 |
FORD1 |
20200 |
FORD2 |
20206 |
reportyear |
2020 |
num_of_auth |
2 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0299551 |
confidential |
S |
contract |
name |
Consent to publish |
date |
20190528 |
note |
Copyright |
|
arlyear |
2019 |
mrcbTft |
\nSoubory v repozitáři: kostkova-0508020-Consent to publish.pdf |
mrcbU14 |
85072869244 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0508720 Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings Springer 2019 Cham 421 432 978-3-030-29929-3 Communications in Computer and Information Science 1089 |
mrcbU67 |
340 Vento M. |
mrcbU67 |
340 Percannella G. |
mrcbU67 |
340 Colantonio S. |
mrcbU67 |
340 Giorgi D. |
mrcbU67 |
340 Matuszewski B. J. |
mrcbU67 |
340 Kerdegari H. |
mrcbU67 |
340 Razaak M. |
|