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tvR: Total Variation Regularization

Provides tools for denoising noisy signal and images via Total Variation Regularization. Reducing the total variation of the given signal is known to remove spurious detail while preserving essential structural details. For the seminal work on the topic, see Rudin et al (1992) <doi:10.1016/0167-2789(92)90242-F>.

Version: 0.3.2
Depends: R (≥ 2.14.0)
Imports: Rcpp, Matrix, Rdpack, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2021-08-22
DOI: 10.32614/CRAN.package.tvR
Author: Kisung You ORCID iD [aut, cre]
Maintainer: Kisung You <kisungyou at outlook.com>
BugReports: https://github.com/kisungyou/tvR/issues
License: MIT + file LICENSE
URL: https://github.com/kisungyou/tvR
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tvR results

Documentation:

Reference manual: tvR.pdf
Vignettes: Denoising with tvR

Downloads:

Package source: tvR_0.3.2.tar.gz
Windows binaries: r-devel: tvR_0.3.2.zip, r-release: tvR_0.3.2.zip, r-oldrel: tvR_0.3.2.zip
macOS binaries: r-release (arm64): tvR_0.3.2.tgz, r-oldrel (arm64): tvR_0.3.2.tgz, r-release (x86_64): tvR_0.3.2.tgz, r-oldrel (x86_64): tvR_0.3.2.tgz
Old sources: tvR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tvR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.