Package: GSCAD
Type: Package
Title: Implementing GSCAD Method for Image Denoising and Inpainting
Version: 0.1.0
Authors@R: c(
    person("Simeng", "Qu", email = "simengqu@gmail.com", role =c("aut", "cre")),
    person("Xiao", "Wang", email = "wangxiao@purdue.edu", role = "aut"))
Maintainer: Simeng Qu <simengqu@gmail.com>
Description: 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.
Depends: R (>= 3.2.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, Matrix, fields, methods
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-10-05 23:24:50 UTC; Simone
Author: Simeng Qu [aut, cre],
  Xiao Wang [aut]
Repository: CRAN
Date/Publication: 2017-10-06 11:51:17 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 16:31:15 UTC; windows
Archs: i386, x64
