First Order Methods for High Resolution Image Denoising

Villacís, David

Latin-American Journal of Computing, volume 4, number 3, pages 37-42, November 2017

pdf url

Abstract

In this paper we are interested in comparing theperformance of some of the most relevant first order non-smoothoptimization methods applied to the Rudin, Osher and Fatemi(ROF) Image Denoising Model and a Primal-Dual Chambolle-Pock Image Denoising Model. Because of the properties of theresulting numerical schemes it is possible to handle these computationspixelwise, allowing implementations based on parallelparadigms which are helpful in the context of high resolutionimaging.

Bibtex

@article{Villacís_2017,
  title   = {First Order Methods for High Resolution Image Denoising},
  volume  = {4},
  url     = {https://lajc.epn.edu.ec/index.php/LAJC/article/view/133},
  number  = {3},
  journal = {Latin-American Journal of Computing},
  author  = {Villacís, David},
  year    = {2017},
  month   = {Nov.},
  pages   = {37-42},
  abstract = {In this paper we are interested in comparing theperformance of some of the most relevant first order non-smoothoptimization methods applied to the Rudin, Osher and Fatemi(ROF) Image Denoising Model and a Primal-Dual Chambolle-Pock Image Denoising Model. Because of the properties of theresulting numerical schemes it is possible to handle these computationspixelwise, allowing implementations based on parallelparadigms which are helpful in the context of high resolutionimaging.}
}