| Lanczos Resampling |
Article Index for Lanczos |
Information AboutLanczos Resampling |
| CATEGORIES ABOUT LANCZOS RESAMPLING | |
| signal processing | |
| multivariate interpolation | |
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. Original, low quality scansion with JPEG artifacts. Open the picture to see the details.]] Lanczos resampling is a Multivariate Interpolation method used to make digital images larger or smaller by resampling them. That is to say, the final values are a weighted sum of the original values (based on relative position to the original image) where the weighting is given by the Lanczos weighted sinc function. Lanczos uses a windowed product of Sinc Function s as a Convolution Kernel for image Resampling . In one dimension, its formula is given by: . The filter is named after Cornelius Lanczos , because he showed how to use Fourier Series and Chebyshev Polynomials for various problems where it was not used before. APPLICATIONS The Lanczos resampling kernel is known to be used in:
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