Title :
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
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;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334224
