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Interpolation methods comparison

Introduction

Interpolation is a very important operation, essential to all geometric image manipulations. For example, this operation occurs each time when an image has to be turned, enlarged, reduced, deformed, projected in perspective, coated like texture, etc.

Since this operation is very important many interpolation methods have been invented. This applet permits you to choose between various methods in order to compare the efficiency and above all the accuracy of different interpolation kernels.

Example

The following images show visually the differences between 3 interpolation methods, after having applied 10 successive rotations of 36 degrees to the original image.


1: Original Image

2: Nearest Neighbour

3: Linear

4: Bspline 4th degree
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10 January 2001