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
In that implementation, smaller weights lead to more smoothing whereas the opposite is true for denoise_tv_chambolle.
The underlying cause seems just to be which term in the cost function the weight applies to (i.e. either the data-consistency or the TV regularization term). We should update the docstrings to clarify where the weight is being applied to make its function less opaque.
The text was updated successfully, but these errors were encountered:
Description
In the Zulip chat, there was a question regarding the "weight" term in
denoise_tv_bregman
.In that implementation, smaller weights lead to more smoothing whereas the opposite is true for
denoise_tv_chambolle
.The underlying cause seems just to be which term in the cost function the weight applies to (i.e. either the data-consistency or the TV regularization term). We should update the docstrings to clarify where the weight is being applied to make its function less opaque.
The text was updated successfully, but these errors were encountered: