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A finite element approach to local nonlinear image restoration

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2 Author(s)
Veldhuizen, T.L. ; Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada ; Jernigen, M.E.

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

Published in:

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on  (Volume:2 )

Date of Conference:

25-28 May 1997

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