Reasonable idea. I think they are faster for at least some cases, but they also behave a little differently than other interpolation techniques. So put them all in a "fourier_interpolation.py" file, then put them somewhere in transforms? On Saturday, December 22, 2012 1:41:22 PM UTC-7, Stefan van der Walt wrote:
Hi Adam
On Fri, Dec 21, 2012 at 8:01 PM, Adam Ginsburg <kefl...@gmail.com<javascript:>> wrote:
https://github.com/keflavich/image_registration/blob/master/image_registrati...
https://github.com/keflavich/image_registration/blob/master/image_registrati...
https://github.com/keflavich/image_registration/blob/master/image_registrati...
(docs here: https://image-registration.readthedocs.org/en/latest/fourier_tools.html)
These look interesting; do they provide any real speed-up over the existing routines? If so, how about using a `fourier_` prefix and implement them all in the same file?
Regards Stéfan
On Sat, Dec 22, 2012 at 5:24 PM, Adam Ginsburg <keflavich@gmail.com> wrote:
Reasonable idea. I think they are faster for at least some cases, but they also behave a little differently than other interpolation techniques. So put them all in a "fourier_interpolation.py" file, then put them somewhere in transforms?
Yes, I think some benchmarks would be interesting. Otherwise, we may want to add sinc interpolation to ndimage and see if that yields the same results. Thanks! Stéfan
participants (2)
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Adam Ginsburg -
Stéfan van der Walt