Lanczos resampling

Interpolation and Extrapolation

Published in James P. Howard, Computational Methods for Numerical Analysis with R, 2017

There is a variety of options for interpolating images when rescaling. In addition to these methods, an approach known as bicubic interpolation creates a two-dimensional analog to the cubic spline function. Like the one-dimension version, rough edges and two-dimensional corners are smoothed resulting in cleaner images and fewer jagged edges. Another method, known as Lanczos resampling, weights neighboring points based on the sinc function. These methods are available in common image manipulations programs, including the freely available gimp graphics package.

Medical image interpolation based on 3D Lanczos filtering

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Journal Information

Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2020

Thiago Moraes, Paulo Amorim, Jorge Vicente Da Silva, Helio Pedrini

Lanczos resampling is a separable filter, that is, it is possible to first apply it in the horizontal direction, then in the vertical direction and, finally, in the depth direction to be used in the 3D interpolation. Since the kernel may have negative values, the range of values of the output image may be wider than the input image. Thus, the output image must be rescaled after the interpolation process to generate the same value interval as the input values.

Lanczos resampling

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Interpolation and Extrapolation

Medical image interpolation based on 3D Lanczos filtering