Paper Info
Title
Restoration of Images with Atmospheric Perturbation Simulation
Abstract
We study model-based restoration of ground-to-ground images. Such images may show strong degradations due to non-linear atmospheric turbulence effects and therefore, any efficient restoration method must take into account some modelling of the turbulence. The first part of the paper is devoted to the realistic simulation of single frames and image sequences degraded by atmospheric turbulence at two different light wavelengths. The second part deals with the comparison of several restoration methods (inverse filtering, Tikhonov regularization, Laplacian regularization and Wiener filtering); a new method is also considered.
Year
DOI
Venue
2005
10.1109/DICTA.2005.71
DICTA
Keywords
Field
DocType
tikhonov regularization,atmospheric turbulence effect,laplacian regularization,new method,atmospheric turbulence,model-based restoration,efficient restoration method,different light wavelength,part deal,restoration method,atmospheric perturbation simulation,wiener filter,atmosphere,deconvolution,atmospheric waves,image restoration,computational modeling,degradation,atmospheric modeling
Tikhonov regularization,Computer science,Turbulence,Deconvolution,Artificial intelligence,Image restoration,Wiener filter,Computer vision,Mathematical optimization,Algorithm,Filter (signal processing),Atmospheric model,Atmospheric wave
Conference
ISBN
Citations 
PageRank 
0-7695-2467-2
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Magali Lemaitre111.30
Fabrice Meriaudeau242352.78
Olivier Laligant33810.66
Jacques Blanc-Talon478050.64