You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Had a look at the true colour and thought the native/nearerest neighbour sampling makes the edges of features a little bit hard. I add a slight hint of blur to my image, perhaps closer to what a bilinear or a tri-linear sampling might look like.
Just a matter of preference.
Would be good this feature can be added next.
The text was updated successfully, but these errors were encountered:
Thanks for the request. The bilinear interpolation is definitely possible and likely wouldn't be too hard to add. @pnuu with the pyresample project is currently optimizing the bilinear resampling. Once this is done there is no reason G2G couldn't use it in the future.
We're currently discussing this in a meeting. Like I said Satpy currently has an implementation of bilinear resampling but if I remember correctly it is quite memory intensive. After talking with @graemely I think I'm going to find a case where bilinear resampling improves the resulting image, compare the execution time and memory usage with nearest neighbor resampling, and then add bilinear resampling as an option if it seems acceptable. Otherwise, we may wait for me to reimplement a different bilinear resampling algorithm that can perform better.
We also have the experimental bilinear interpolation in Pyresample which uses gradient search. It is faster than the "normal" nearest neighbour resampling with cached LUTs. But as said, it is still experimental.
Hi,
Had a look at the true colour and thought the native/nearerest neighbour sampling makes the edges of features a little bit hard. I add a slight hint of blur to my image, perhaps closer to what a bilinear or a tri-linear sampling might look like.
Just a matter of preference.
Would be good this feature can be added next.
The text was updated successfully, but these errors were encountered: