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 as described in "J. Polzehl and V. Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1>", "J. Polzehl and V. Spokoiny (2004) <DOI:10.20347/WIAS.PREPRINT.998>" and "J. Polzehl, K. Papafitsoros, K. Tabelow (2018) <DOI:10.20347/WIAS.PREPRINT.2520>", the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter. Usage of the package is also described in Polzehl and Tabelow (2019), Magnetic Resonance Brain Imaging, Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-030-29184-6_6>.

Package details

AuthorJoerg Polzehl [aut, cre], Felix Anker [ctb]
MaintainerJoerg Polzehl <joerg.polzehl@wias-berlin.de>
LicenseGPL (>= 2)
Version2.4-2
URL http://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 April 19, 2020, 3:57 p.m.