||Modeling data error during deconvolution||
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Before altering the old algorithm we need to be careful about a couple things.
We may need different gain functions for
Sea swell is quite stationary in its physics,
but the hyperbolic penalty function applies to the statistical perspective
which is one where images are boosted in time from their physical form.
We also need to be careful not to mix up
We will need to scale the regularization with the fitting by experimentation.
We could update the old algorithm (Claerbout et al. (2011)) with the new noise parts.
Alternately, we could follow the suggestion of Antoine and switch to the quasi Newton method.
In either case
we'll need to introduce a scale factor (learned from practice) to choose how much of
ends out in