Reconstructing 2D images with natural neighbour interpolation

被引：0
|
作者：
François Anton
Darka Mioc
Alain Fournier
机构：
[1] Department of Computer Science,
[2] University of British Columbia,undefined
[3] 203-2366 Main Mall,undefined
[4] Vancouver,undefined
[5] BC,undefined
[6] V6T 1Z4,undefined
[7] Canada e-mail: fanton@cs.ubc.ca,undefined
[8] Projet Prisme,undefined
[9] INRIA Sophia Antipolis,undefined
[10] B.P. 93,undefined
[11] 06902 Sophia Antipolis Cedex,undefined
[12] France,undefined
[13] Département des Sciences Géomatiques,undefined
[14] Université Laval,undefined
[15] Pavillon Casault,undefined
[16] Ste-Foy,undefined
[17] QC,undefined
[18] G1K 7P4,undefined
[19] Canada e-mail: dmioc@cs.ubc.ca,undefined
来源：
The Visual Computer | 2001年 / 17卷
关键词：
Key words: Image reconstruction – Irregularly spaced samples – Natural neighbour interpolation – Local coordinates;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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 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.
引用
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页码：134 / 146
页数：12
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