2010Unpublished venueRequires access

Novel image interpolation based on multivariate spline

Yuanyuan Fan, Bin Yang

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Abstract

In this paper, we present an effective algorithm for image interpolation. Our algorithm first calculates basis function of multivariate spline, on this basis, builds an operator applied to image interpolation. Finally, by experiment our algorithm reconstructs different interval sampled images, and compares with bilinear interpolation and double cubic convolution interpolation methods respectively. The experimental results show that our algorithm can reconstruct high quality images.

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What this paper is about

In this paper, we present an effective algorithm for image interpolation. Our algorithm first calculates basis function of multivariate spline, on this basis, builds an operator applied to image interpolation. Finally, by experiment our algorithm reconstructs different interval sampled images, and compares with bilinear interpolation and double cubic convolution interpolation methods respectively. The experimental results show that our algorithm can reconstruct high quality images.

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Available abstract

In this paper, we present an effective algorithm for image interpolation. Our algorithm first calculates basis function of multivariate spline, on this basis, builds an operator applied to image interpolation. Finally, by experiment our algorithm reconstructs different interval sampled images, and compares with bilinear interpolation and double cubic convolution interpolation methods respectively. The experimental results show that our algorithm can reconstruct high quality images.

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

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