2009Unpublished venueRequires access

A comparative study of some rational interpolation algorithms and its application

Dongmei Li, Cuilan Mi, Yang Aimin, Zhang Qiuna, Jingguo Qu

Open publisher page 2 citations

Abstract

Rational interpolation is a method to deal with Interpolation approximation problems using rational polynomial functions. Especially to functions with a pole, rational interpolation method is obviously superior to polynomial interpolation. Besides, rational interpolation also can be used to image processing aspects, and to some extent , it achieve better effects in image interpolation. In this paper, we compare the algorithms and analysis the advantages based on an example. Then, we talk about the variance of unattainable point in interpolation.

About this research paper

What this paper is about

Rational interpolation is a method to deal with Interpolation approximation problems using rational polynomial functions. Especially to functions with a pole, rational interpolation method is obviously superior to polynomial interpolation. Besides, rational interpolation also can be used to image processing aspects, and to some extent , it achieve better effects in image interpolation. In this paper, we compare the algorithms and analysis the advantages based on an example. Then, we talk about the variance of unattainable point in interpolation.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Rational interpolation is a method to deal with Interpolation approximation problems using rational polynomial functions. Especially to functions with a pole, rational interpolation method is obviously superior to polynomial interpolation. Besides, rational interpolation also can be used to image processing aspects, and to some extent , it achieve better effects in image interpolation. In this paper, we compare the algorithms and analysis the advantages based on an example. Then, we talk about the variance of unattainable point in interpolation.

Key concepts: Interpolation (computer graphics), Stairstep interpolation, Bilinear interpolation, Polynomial interpolation, Nearest-neighbor interpolation, Image scaling, Multivariate interpolation, Linear interpolation

Related papers

Back to paper searchBrowse research topicsOriginal source
A comparative study of some rational interpolation algorithms and its application — Research Paper | ScholarLens