2011•Image Processing On LineOpen access

Linear Methods for Image Interpolation

Pascal Getreuer

Open full text 128 citations

Abstract

We discuss linear methods for interpolation, including nearest neighbor, bilinear, bicubic, splines, and sinc interpolation. We focus on separable interpolation, so most of what is said applies to one-dimensional interpolation as well as N-dimensional separable interpolation.

Open-access reader

About this research paper

What this paper is about

We discuss linear methods for interpolation, including nearest neighbor, bilinear, bicubic, splines, and sinc interpolation. We focus on separable interpolation, so most of what is said applies to one-dimensional interpolation as well as N-dimensional separable interpolation.

Why it matters

OpenAlex reports 128 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

We discuss linear methods for interpolation, including nearest neighbor, bilinear, bicubic, splines, and sinc interpolation. We focus on separable interpolation, so most of what is said applies to one-dimensional interpolation as well as N-dimensional separable interpolation.

Key concepts: Bilinear interpolation, Bicubic interpolation, Stairstep interpolation, Nearest-neighbor interpolation, Interpolation (computer graphics), Trilinear interpolation, Linear interpolation, Multivariate interpolation

Related papers

Back to paper searchBrowse research topicsOriginal source
Linear Methods for Image Interpolation — Research Paper | ScholarLens