DocumentCode
698463
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
fYear
2005
fDate
4-8 Sept. 2005
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2005 13th European
Conference_Location
Antalya
Print_ISBN
978-160-4238-21-1
Type
conf
Filename
7078048
Link To Document