Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields

Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii. Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. In Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic, editors, Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II. Volume 4669 of Lecture Notes in Computer Science, pages 611-620, Springer, 2007. [doi]

@inproceedings{KanemuraMI07,
  title = {Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields},
  author = {Atsunori Kanemura and Shin-ichi Maeda and Shin Ishii},
  year = {2007},
  doi = {10.1007/978-3-540-74695-9_63},
  url = {http://dx.doi.org/10.1007/978-3-540-74695-9_63},
  tags = {rule-based, Markov},
  researchr = {https://researchr.org/publication/KanemuraMI07},
  cites = {0},
  citedby = {0},
  pages = {611-620},
  booktitle = {Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II},
  editor = {Joaquim Marques de Sá and Luís A. Alexandre and Wlodzislaw Duch and Danilo P. Mandic},
  volume = {4669},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-74693-5},
}