2D Image Reconstruction using Natural Neighbour Interpolation

Francesc/François Antón Castro, Darka Mioc, A. Fournier

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this paper we explore image reconstruction from irregularly spaced samples using natural neighbour interpolation We sample the image irregularly using 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 interpola tion to quantify the neighbourliness of data sites Then we use natural neighbour interpolation in order to reconstruct the image The main result is that the image quality is always very good in the case of the sampling techniques based on the Laplacian
Keyword: natural neighbour interpolation,irregularly spaced samples,local coordinates,image reconstruction
Original languageEnglish
Title of host publicationProceedings of The Eighth International Conference on Computer Graphics and Visualization in Central Europe
Publication date2000
Pages263-269
Publication statusPublished - 2000
Externally publishedYes
EventInternational Conference on Computer Graphics and Visualization in Central Europe - Plzen City, Czech Republic, February
Duration: 1 Jan 2000 → …
Conference number: 8

Conference

ConferenceInternational Conference on Computer Graphics and Visualization in Central Europe
Number8
CityPlzen City, Czech Republic, February
Period01/01/2000 → …

Cite this

Antón Castro, FF., Mioc, D., & Fournier, A. (2000). 2D Image Reconstruction using Natural Neighbour Interpolation. In Proceedings of The Eighth International Conference on Computer Graphics and Visualization in Central Europe (pp. 263-269)