The influence of the noise in the restoration of solar radio images using adaptive regularization techniques based on clustering

Author

Machado, Will R S ; Mascarenhas, Nelson D A ; Costa, Joaquim E R

Volume

2

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

371

Abstract

This article describes the efficiency analysis of the new restoration algorithm applied to solar radio images and the influence that an additive noise has in the roughness classification process of the degraded image pixels. As the deconvolution problems are ill conditioned, small disturbances, caused by the noise can imply in great variations in the estimate of the solution of the problem. Therefore, several simulations were performed to evaluate the efficiency of the proposed algorithm in cases that the noise exerts significant influence in the result of the processing.

Keywords

Sun; adaptive signal processing; image restoration; noise; radioastronomical techniques; radioastronomy; Sun; adaptive regularization technique; additive noise; restoration algorithm; roughness classification process; solar radio images; Additive noise; Algorithm design and analysis; Clustering algorithms; Convolution; Deconvolution; Degradation; Image restoration; Optical filters; Radio astronomy; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334224

Filename

1334224