Restoration of solar radio images using adaptive regularization techniques based on clustering

The article describes a new algorithm for the restoration of solar radio images. The technique is based on the use of adaptive regularization procedures that incorporate the k-means clustering algorithm over local roughness measures. Experimental results involving simulated and real images are described. The results demonstrate the superiority of the adaptive procedure compared to conventional regularization, both from the visual and numerical points of view.