An Efficient Algorithm for Total Variation Denoising

Artyom Makovetskii, Sergei Voronin, Vitaly Kober. An Efficient Algorithm for Total Variation Denoising. In Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin Vorontsov, editors, Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Volume 661 of Communications in Computer and Information Science, pages 326-337, 2016. [doi]

@inproceedings{MakovetskiiVK16,
  title = {An Efficient Algorithm for Total Variation Denoising},
  author = {Artyom Makovetskii and Sergei Voronin and Vitaly Kober},
  year = {2016},
  doi = {10.1007/978-3-319-52920-2_30},
  url = {http://dx.doi.org/10.1007/978-3-319-52920-2_30},
  researchr = {https://researchr.org/publication/MakovetskiiVK16},
  cites = {0},
  citedby = {0},
  pages = {326-337},
  booktitle = {Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers},
  editor = {Dmitry I. Ignatov and Mikhail Yu. Khachay and Valeri G. Labunets and Natalia V. Loukachevitch and Sergey I. Nikolenko and Alexander Panchenko and Andrey V. Savchenko and Konstantin Vorontsov},
  volume = {661},
  series = {Communications in Computer and Information Science},
  isbn = {978-3-319-52919-6},
}