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>.
| Version: |
2.4-3 |
| Depends: |
R (≥ 3.4.0), awsMethods (≥ 1.1-1) |
| Imports: |
methods, gsl |
| Published: |
2020-07-21 |
| Author: |
Joerg Polzehl [aut, cre],
Felix Anker [ctb] |
| Maintainer: |
Joerg Polzehl <joerg.polzehl at wias-berlin.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: |
This package is Copyright (C) 2005-2020 Weierstrass
Institute for Applied Analysis and Stochastics. |
| URL: |
http://www.wias-berlin.de/people/polzehl/ |
| NeedsCompilation: |
yes |
| Citation: |
aws citation info |
| Materials: |
README |
| CRAN checks: |
aws results |
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