16.01.2025, 06:15
Not sure whether the doc helps:
Cu Selur
nsize -
Sets the size of the local neighborhood around each pixel that is used by the predictor
neural network. Possible settings (x_diameter x y_diameter):
0 - 8x6
1 - 16x6
2 - 32x6
3 - 48x6
4 - 8x4
5 - 16x4
6 - 32x4
For image enlargement it is recommended to use 0 or 4. Larger y_diameter settings
will result in sharper output. For deinterlacing larger x_diameter settings will
allow connecting lines of smaller slope. However, what setting to use really
depends on the amount of aliasing (lost information) in the source. If the source was
heavily low-pass filtered before interlacing then aliasing will be low and a large
x_diameter setting wont be needed, and vice versa.
Default: 6 (int)
Cu Selur
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.