Package: tvR 0.3.2

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_0.3.2.tar.gz
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://cran.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:

openblascppopenmp

2.00 score 8 scripts 240 downloads 2 exports 6 dependencies

Last updated 3 years agofrom:5a07dc0d75. Checks:1 OK, 1 WARNING. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 21 2025
R-4.5-linux-x86_64WARNINGJan 21 2025

Exports:denoise1denoise2

Dependencies:latticeMatrixrbibutilsRcppRcppArmadilloRdpack

Denoising with tvR package

Kisung You

Rendered fromdenoising-with-tvR.Rmdusingknitr::rmarkdownon Jan 21 2025.

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