An efficient spline basis for multi-dimensional applications: image interpolation
Luca Ferrari, J.H. Park
Abstract
Luca Ferrari, J.H. Park
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.
OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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