DocumentCode
2363123
Title
A finite element approach to local nonlinear image restoration
Author
Veldhuizen, Todd L. ; Jernigen, M.E.
Author_Institution
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Volume
2
fYear
1997
fDate
25-28 May 1997
Firstpage
504
Abstract
We consider finite element basis functions for local nonlinear image restoration. The high dimensionality of the problem requires symmetry assumptions to make the filter design process computationally feasible. In contrast to polynomial filters, finite element filters are fast to evaluate and train, and handle outliers well. Preliminary results are superior to Lee´s local adaptive filter
Keywords
filtering theory; finite element analysis; image restoration; nonlinear filters; piecewise-linear techniques; filter design process; finite element basis functions; finite element filters; local nonlinear image restoration; symmetry assumptions; Adaptive filters; Degradation; Design engineering; Finite element methods; Image restoration; Nonlinear filters; Pixel; Polynomials; Systems engineering and theory; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location
St. Johns, Nfld.
ISSN
0840-7789
Print_ISBN
0-7803-3716-6
Type
conf
DOI
10.1109/CCECE.1997.608268
Filename
608268
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