Parent Topic: Resampling
Cubic Convolution
Cubic convolution determines the grey level from the weighted average of the 16 closest pixels to the specified input coordinates, and assigns that value to the output coordinates. This method is closer to the perfect sin(x)/x resampler than nearest neighbour or bilinear interpolation. The image is slightly sharper than that produced by bilinear interpolation, and it does not have the disjointed appearance produced by nearest neighbour interpolation. Because the grey level values are altered by this method, any image classification processes should be performed before the interpolation. Cubic convolution requires about 10 times the computation time required by the nearest neighbour method.


Parent Topic: Resampling
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