awsweights

object obtained by a call to function <code>aws</code>

awsobj

Size of the plateau in the adaptation kernel.

spmin

either a matrix of dimension length(awsobj@dy) x number of points
 containing the integer coordinates of points of interest
 or 
 NULL. In the latter case the weight scheme for all points is
 generated.

Utility function to create a weighting scheme for an additional aws step.
Inteded to be used for illustrations only.

 misc 

We provide a collection of R-functions implementing
adaptive smoothing procedures in 1D, 2D and 3D. This includes the
Propagation-Separation Approach to adaptive smoothing,
the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter.
The package is described in detail in Polzehl J, Papafitsoros K, Tabelow K (2020).
Patch-Wise Adaptive Weights Smoothing in R. Journal of Statistical Software, 95(6), 1-27.
<doi:10.18637/jss.v095.i06>,
Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2019),
Magnetic Resonance Brain Imaging, Appendix A, Springer, Use R! Series.
<doi:10.1007/978-3-030-29184-6_6>.

awsweights: Generate weight scheme that would be used in an additional aws step

Description

Usage

Arguments

Value

References

See Also