We extend some results concerning univariate generalized sampling approximation to the multivariate frame. We give estimates of the approximation error of the multivariate generalized sampling series for not necessarily continuous functions in L^p(R^n)-norm, using the averaged modulus of smoothness of Sendov and Popov type. Finally we study some concrete examples and give applications to image processing, in particular to biomedical images.

Generalized sampling approximation for multivariate discontinuous signals and applications to image processing

BARDARO, Carlo;MANTELLINI, Ilaria;VINTI, Gianluca
2014

Abstract

We extend some results concerning univariate generalized sampling approximation to the multivariate frame. We give estimates of the approximation error of the multivariate generalized sampling series for not necessarily continuous functions in L^p(R^n)-norm, using the averaged modulus of smoothness of Sendov and Popov type. Finally we study some concrete examples and give applications to image processing, in particular to biomedical images.
2014
978-3-319-08801-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1221597
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