For 1d signals the coefficients as well as reconstructed signals keep the same number of dimensions as the original input signal.
However, for 2d signals with only 2 axes we currently always add a superfluous batch dimension, i.e. [H, W] -> [1, H, W].
This seems inconsistent.
We can address this by introducing a functionality similiar to ptwt.conv_transform._postprocess_result_list_dec1d for higher dimensions.
v0lta
commented
4 months ago
For 1d signals the coefficients as well as reconstructed signals keep the same number of dimensions as the original input signal. However, for 2d signals with only 2 axes we currently always add a superfluous batch dimension, i.e.
[H, W] -> [1, H, W].This seems inconsistent.
We can address this by introducing a functionality similiar to
ptwt.conv_transform._postprocess_result_list_dec1dfor higher dimensions.