Package: tvR 0.3.2

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_0.3.2.tar.gz
tvR_0.3.2.zip(r-4.5)tvR_0.3.2.zip(r-4.4)tvR_0.3.2.zip(r-4.3)
tvR_0.3.2.tgz(r-4.4-x86_64)tvR_0.3.2.tgz(r-4.4-arm64)tvR_0.3.2.tgz(r-4.3-x86_64)tvR_0.3.2.tgz(r-4.3-arm64)
tvR_0.3.2.tar.gz(r-4.5-noble)tvR_0.3.2.tar.gz(r-4.4-noble)
tvR_0.3.2.tgz(r-4.4-emscripten)tvR_0.3.2.tgz(r-4.3-emscripten)
tvR.pdf |tvR.html✨
tvR/json (API)
NEWS

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

Peer review:

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:

3.48 score 3 stars 8 scripts 201 downloads 2 exports 6 dependencies

Last updated 3 years agofrom:f06eb42bc7. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

Exports:denoise1denoise2

Dependencies:latticeMatrixrbibutilsRcppRcppArmadilloRdpack

Denoising with tvR package

Kisung You

Rendered fromdenoising-with-tvR.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2021-08-14
Started: 2019-10-27