2002Unpublished venueRequires access

An efficient spline basis for multi-dimensional applications: image interpolation

Luca Ferrari, J.H. Park

Open publisher page 9 citations

Abstract

In this paper, we present a new spline basis function, the 2-5-2 spline which can be computed using simple fixed point shifts and adds. We compare the results of 2-5-2 spline image interpolation with the results using the most commonly used spline basis, the B-spline. We also present efficient computational algorithms for the new spline basis function.

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What this paper is about

In this paper, we present a new spline basis function, the 2-5-2 spline which can be computed using simple fixed point shifts and adds. We compare the results of 2-5-2 spline image interpolation with the results using the most commonly used spline basis, the B-spline. We also present efficient computational algorithms for the new spline basis function.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we present a new spline basis function, the 2-5-2 spline which can be computed using simple fixed point shifts and adds. We compare the results of 2-5-2 spline image interpolation with the results using the most commonly used spline basis, the B-spline. We also present efficient computational algorithms for the new spline basis function.

Key concepts: Spline (mechanical), Thin plate spline, Spline interpolation, Smoothing spline, Hermite spline, Basis function, Computer science, M-spline

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