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December 14, 2023 17:47
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Simple inverse distance weighted (IDW) interpolation with python
Thank you for the code ! I am not really sure of this but I think that if you want to change the norm you can't use the hypothenus anymore.
distance = (np.abs(d0)**p + np.abs(d1)**p)**(1/p)
would be for the Lp-norm in general
Now to try and figure out how to avoid memory issues on 1000x1000 image :)
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@Majramos how can measure the accuracy of the different power values that I am using (like 1 or 2 or 5), also, is it possible to run the power values in a loop, like one out put for power 1, one for 2 and so on... and then try to understand which power parameters provide best interpolation.