An efficient convolution interpolation kernel for digital image scaling

Chung-chi Lin; Ming-hwa Sheu; Huann-keng Chiang; Chishyan Liaw; Zeng-chuan Wu

doi:10.1587/elex.5.860

LETTER

An efficient convolution interpolation kernel for digital image scaling

Chung-chi Lin, Ming-hwa Sheu, Huann-keng Chiang, Chishyan Liaw, Zeng-chuan Wu

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Keywords: bi-cubic convolution, interpolation, scaling

JOURNAL FREE ACCESS

2008 Volume 5 Issue 20 Pages 860-864

DOI https://doi.org/10.1587/elex.5.860

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Abstract

This paper presents an efficient extended linear convolution interpolation method for efficient scaling. The kernel of the extended linear convolution interpolation is built up of first-order polynomial and approximates the ideal sinc-function in interval [-2, 2]. The approach reduces the computational complexity of interpolation and the interpolation quality is compatible to that of bi-cubic convolution interpolations.

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