aws: Adaptive Weights Smoothing

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 (2023), Magnetic Resonance Brain Imaging, 2nd Ed. Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>.

Package details

AuthorJoerg Polzehl [aut, cre], Felix Anker [ctb]
MaintainerJoerg Polzehl <joerg.polzehl@wias-berlin.de>
LicenseGPL (>= 2)
Version2.5-6
URL https://www.wias-berlin.de/people/polzehl/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("aws")

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aws documentation built on Oct. 1, 2024, 1:08 a.m.