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Titolo:
Reconstructing 2D images with natural neighbour interpolation
Autore:
Anton, F; Mioc, D; Fournier, A;
Indirizzi:
Univ British Columbia, Dept Comp Sci, Vancouver, BC V6T 1Z4, Canada Univ British Columbia Vancouver BC Canada V6T 1Z4 ver, BC V6T 1Z4, Canada INRIA Sophia Antipolis, Projet Prisme, F-06902 Sophia Antipolis, France INRIA Sophia Antipolis Sophia Antipolis France F-06902 Antipolis, France Univ Laval, Dept Sci Geomat, St Foy, PQ G1K 7P4, Canada Univ Laval St FoyPQ Canada G1K 7P4 ci Geomat, St Foy, PQ G1K 7P4, Canada
Titolo Testata:
VISUAL COMPUTER
fascicolo: 3, volume: 17, anno: 2001,
pagine: 134 - 146
SICI:
0178-2789(2001)17:3<134:R2IWNN>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Keywords:
image reconstruction; irregularly spaced samples; natural neighbour interpolation; local coordinates;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Anton, F Univ British Columbia, Dept Comp Sci, 203-2366 Main Mall, Vancouver, BC V6T 1Z4, Canada Univ British Columbia 203-2366 Main Mall Vancouver BC Canada V6T 1Z4
Citazione:
F. Anton et al., "Reconstructing 2D images with natural neighbour interpolation", VIS COMPUT, 17(3), 2001, pp. 134-146

Abstract

In this paper, we explore image reconstruction by natural neighbour interpolation from irregularly spaced samples. We sample the image irregularly with techniques based on the Laplacian or the derivative in the direction of the gradient. Local coordinates based on the Voronoi diagram are used in natural neighbour interpolation to quantify the "neighbourliness" of data sites. Then we use natural neighbour interpolation in order to reconstruct theimage. The main result is that the image quality is always very good in the case of the sampling techniques based on the Laplacian.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/01/20 alle ore 00:45:13