Statistical and Performance Analysis of Compressive Sensing in Solar Corona Tomography

Abstract

This work aims to evaluate the performance of the technique developed for tomography images of the Solar Corona, based on Compressive Sensing (CS) in comparison with the Filtered Backprojection method (FBM), in which 31 LASCO C2 images were used. The results of the reconstruction of the signal-to-noise ratio (SNR) present better performances for the CS and together with the analysis of the processing time for this method, it was possible to determine the optimal angle of projection of 250 that guarantees a suitable quality given the characteristics of reconstruction that the algorithm presented.