GSCAD: Implementing GSCAD Method for Image Denoising and Inpainting

Method proposed in "Simultaneous Sparse Dictionary Learning and Pruning" ( Qu and Wang (2016) <arXiv:1605.07870>) is implemented. The idea is to conduct a linear decomposition of a signal using a few atoms of a learned and usually over-completed dictionary instead of a pre-defined basis. A proper size of the to-be-learned dictionary is determining at the same time during the procedure. Application includes image denoising and image inpainting.

Version: 0.1.0
Depends: R (≥ 3.2.3)
Imports: Rcpp, Matrix, fields, methods
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-10-06
Author: Simeng Qu [aut, cre], Xiao Wang [aut]
Maintainer: Simeng Qu <simengqu at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: GSCAD results

Downloads:

Reference manual: GSCAD.pdf
Package source: GSCAD_0.1.0.tar.gz
Windows binaries: r-devel: GSCAD_0.1.0.zip, r-release: GSCAD_0.1.0.zip, r-oldrel: GSCAD_0.1.0.zip
OS X binaries: r-release: GSCAD_0.1.0.tgz, r-oldrel: GSCAD_0.1.0.tgz

Linking:

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