Title
Atmospheric Turbulence Effects Removal on Infrared Sequences Degraded by Local Isoplanatism
Abstract
When observing an object horizontally at a long distance, degradations due to atmospheric turbulence often occur. Different methods have already been tested to get rid of this kind of degradation, especially on infrared sequences. It has been shown that the Wiener filter applied locally on each frame of a sequence allows to obtain good results in terms of edges, while the regularization by the Laplacian operator applied in the same way provides good results in terms of noise removal in uniform areas. In this article, we present hybrid methods which take advantages of both Wiener filter and Laplacian regularization.
Year
DOI
Venue
2007
10.1007/978-3-540-72849-8_35
IbPRIA (2)
Keywords
Field
DocType
laplacian regularization,atmospheric turbulence effects removal,long distance,hybrid method,infrared sequence,different method,infrared sequences,atmospheric turbulence,noise removal,laplacian operator,wiener filter,local isoplanatism,good result,infrared
Wiener filter,Computer vision,Mathematical optimization,Computer science,Turbulence,Algorithm,Regularization (mathematics),Artificial intelligence,Laplacian regularization,Infrared,Noise removal,Laplace operator
Conference
Volume
ISSN
Citations 
4478
0302-9743
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Magali Lemaitre111.30
Olivier Laligant23810.66
Jacques Blanc-Talon378050.64
Fabrice Mériaudeau44611.89