A finite element approach to local nonlinear image restoration

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.