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.
,
Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2023),
Magnetic Resonance Brain Imaging, 2nd Ed. Appendix A, Springer, Use R! Series.
.