Package: tvR 0.3.3

Kisung You

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>.

Authors:Kisung You [aut, cre]

tvR_0.3.3.tar.gz
tvR_0.3.3.tar.gz(r-4.7-arm64)tvR_0.3.3.tar.gz(r-4.7-x86_64)tvR_0.3.3.tar.gz(r-4.6-arm64)tvR_0.3.3.tar.gz(r-4.6-x86_64)
tvR_0.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
tvR/json (API)
NEWS

# Install 'tvR' in R:
install.packages('tvR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kisungyou/tvr/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

2.00 score 8 scripts 318 downloads 2 exports 6 dependencies

Last updated from:046bb9975b. Checks:4 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING138
linux-devel-x86_64WARNING141
source / vignettesOK199
linux-release-arm64WARNING148
linux-release-x86_64WARNING139
wasm-releaseOK128

Exports:denoise1denoise2

Dependencies:latticeMatrixrbibutilsRcppRcppArmadilloRdpack

Denoising with tvR package

Rendered fromdenoising-with-tvR.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2021-08-22
Started: 2019-10-27