Title :
Reconstruction of damaged images using Radial Basis Functions
Author :
Uhlir, Karel ; Skala, Vaclav
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of West Bohemia, Pilsen, Czech Republic
Abstract :
The Radial Basis Function method (RBF) can be used not only for reconstruction of a surface from scattered data but for reconstruction of damaged images, filling gaps and for restoring missing data in images, too. The basic idea of reconstruction algorithm with RBF and very interesting results from reconstruction of images damaged by noise are presented. Feasibility of the RBF method for image processing is demonstrated.
Keywords :
image restoration; interpolation; radial basis function networks; RBF method; damaged image reconstruction; image processing; image restoration; radial basis function method; Equations; Image edge detection; Image reconstruction; Image restoration; Linear systems; Mars; Surface treatment;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
