Total Variation Denoising is a regularized denoising method which effectively removes noise from piecewise constant signals whilst preserving edges. This package contains a C++ implementation of Condat's very fast 1D squared error loss TVD algorithm. Additional methods and loss functions may be added in future versions.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 0.11.2) |
| LinkingTo: | Rcpp |
| Published: | 2014-08-13 |
| Author: | Mark Pinese [aut, cre, cph] |
| Maintainer: | Mark Pinese <m.pinese at garvan.org.au> |
| BugReports: | https://bitbucket.org/marpin/r-tvd/issues |
| License: | EPL (≥ 1.0) |
| URL: | https://bitbucket.org/marpin/r-tvd |
| NeedsCompilation: | yes |
| CRAN checks: | tvd results |
| Reference manual: | tvd.pdf |
| Package source: | tvd_0.1.0.tar.gz |
| Windows binaries: | r-devel: tvd_0.1.0.zip, r-release: tvd_0.1.0.zip, r-oldrel: tvd_0.1.0.zip |
| macOS binaries: | r-release (arm64): tvd_0.1.0.tgz, r-oldrel (arm64): tvd_0.1.0.tgz, r-release (x86_64): tvd_0.1.0.tgz, r-oldrel (x86_64): tvd_0.1.0.tgz |
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