bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0085583 |
utime |
20240111140649.5 |
mtime |
20070912235959.9 |
title
(primary) (eng) |
A model-based quality improvement and assessment of hazy degraded images |
specification |
page_count |
5 s. |
media_type |
www |
|
serial |
ARLID |
cav_un_epca*0085582 |
title
|
Proceedings of the 15th European Signal Processing Conference |
page_num |
2234-2238 |
publisher |
place |
Poznan |
name |
University of technology Poznan |
year |
2007 |
|
|
title
(cze) |
Vylepšení a vyhodnocení kvality u snímků v oparu |
keyword |
image fusion |
keyword |
entropy |
author
(primary) |
ARLID |
cav_un_auth*0213233 |
name1 |
Gabarda |
name2 |
S. |
country |
ES |
|
author
|
ARLID |
cav_un_auth*0021104 |
name1 |
Cristóbal |
name2 |
G. |
country |
ES |
|
author
|
ARLID |
cav_un_auth*0101209 |
name1 |
Šroubek |
name2 |
Filip |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
GA202/05/0242 |
agency |
GA ČR |
ARLID |
cav_un_auth*0001744 |
|
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
Haze is an atmospheric degradation that appears in real scenarios when there is considerable amount of dust, aerosols or water vapor that impairs the quality of images. The quality improvement procedure is based in a recently developed image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) transformation to the source images and on the use of a pixel-wise quality measure. Such procedure is able to process sequences of multi-temporal registered images affected with spatial-variant noise and effectively remove the haze present in the image sequence. |
abstract
(cze) |
Fúze obrazu scén v oparu |
action |
ARLID |
cav_un_auth*0229858 |
name |
EUSIPCO 2007 |
place |
Poznan |
dates |
03.09.2007-07.09.2007 |
country |
PL |
|
reportyear |
2008 |
RIV |
JD |
permalink |
http://hdl.handle.net/11104/0148063 |
arlyear |
2007 |
mrcbU56 |
textový dokument 0.5MB |
mrcbU63 |
cav_un_epca*0085582 Proceedings of the 15th European Signal Processing Conference 2234 2238 Poznan University of technology Poznan 2007 |
|