Utilisation of Radial Basis Functions (RBF) for reconstruction of damaged images became common technique nowadays. This paper deals with computation and utilisation of auxiliary points in order to further increase the ability of RBF to restore damaged areas in image. Our goal was to achieve the best possible results in acceptable time of computation. We put stress mainly on cases, where the image is heavily damaged e.g. by extreme noise. In these cases our new proposed approach achieved very usable results that even surpassed our expectations.
J. Zapletal, Petr Vanecek, Václav Skala