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

页码：134 / 146

页数：12

共 50 条

[1] Reconstructing 2D images with natural neighbour interpolation
Anton, F
Mioc, D
Fournier, A
VISUAL COMPUTER, 2001, 17 (03): : 134 - 146
[2] Performance comparisons of interpolation algorithms for 2D images
Wang, CX
Snyder, WE
Bilbro, G
IEEE SOUTHEASTCON '97 - ENGINEERING THE NEW CENTURY, PROCEEDINGS, 1996, : 252 - 254
[3] Multiband 2D InSAR deformation models with error estimates from natural neighbour interpolation: Case study in the Latrobe Valley, Australia
Johnston, Paul J.
Filmer, Mick S.
Fuhrmann, Thomas
Garthwaite, Matthew C.
Woods, Alex R.
Fraser, Roger W.
ADVANCES IN SPACE RESEARCH, 2023, 72 (06) : 2137 - 2155
[4] An open environment for reconstructing 2D images into 3D finite element models
Hoppner, JM
Throne, RD
Olson, LG
Windle, JR
COMPUTERS IN CARDIOLOGY 1996, 1996, : 429 - 432
[5] Exploring rich intermediate representations for reconstructing 3D shapes from 2D images
Yang, Yang
Han, Junwei
Zhang, Dingwen
Tian, Qi
PATTERN RECOGNITION, 2022, 122
[6] An efficient natural neighbour interpolation algorithm for geoscientific modelling
Ledoux, H
Gold, C
DEVELOPMENTS IN SPATIAL DATA HANDLING, 2005, : 97 - 108
[7] TerraNNI: Natural Neighbor Interpolation on 2D and 3D Grids Using a GPU
Agarwal, Pankaj K.
Beutel, Alex
Molhave, Thomas
ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS, 2016, 2 (02)
[8] AN EFFICIENT 2D INTERPOLATION ALGORITHM
SMIT, T
SMITH, M
NICHOLS, ST
HENKELMAN, M
MEDICAL PHYSICS, 1987, 14 (03) : 467 - 467
[9] sat2Map: Reconstructing 3D Building Roof from 2D Satellite Images
Rezaei, Yoones
Lee, Stephen
ACM TRANSACTIONS ON CYBER-PHYSICAL SYSTEMS, 2024, 8 (04)
[10] Adaptive face modelling for reconstructing 3D face shapes from single 2D images
Maghari, Ashraf
Venkat, Ibrahim
Liao, Iman Yi
Belaton, Bahari
IET COMPUTER VISION, 2014, 8 (05) : 441 - 454

← 1 2 3 4 5 →