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Multivariate Polynomial Interpolation
1990In this paper, we present multivariate polynomial interpolation methods which are natural extension of the most well-known methods for univariate polynomial interpolation. Special emphasis is put on the Newton approach, and some algorithms of this type are developed in sections 3 and 5.
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A note on cubic convolution interpolation
IEEE Transactions on Image Processing, 2003Erik Meijering, Michael Unser
exaly
An edge-guided image interpolation algorithm via directional filtering and data fusion
IEEE Transactions on Image Processing, 2006Lei Zhang
exaly
Comparison of six methods for the interpolation of daily, European climate data
Journal of Geophysical Research, 2008Nynke Hofstra, Mark G New, Phil Jones
exaly
Quantitative evaluation of convolution-based methods for medical image interpolation
Medical Image Analysis, 2001Wiro Joep N Niessen
exaly
Fourier-based interpolation bias prediction in digital image correlation
Optics Express, 2015Yong Su, Qingchuan Zhang, Xiaohai Xu
exaly

