Information theoretic methods for image processing algorithm optimization

Sergey F. Prokushkin, Erez Galil. Information theoretic methods for image processing algorithm optimization. In Mohamed-Chaker Larabi, Sophie Triantaphillidou, editors, Image Quality and System Performance XII, San Francisco, California, United States, 8-12 February 2015. Volume 9396 of SPIE Proceedings, pages 939604, SPIE, 2015. [doi]

@inproceedings{ProkushkinG15,
  title = {Information theoretic methods for image processing algorithm optimization},
  author = {Sergey F. Prokushkin and Erez Galil},
  year = {2015},
  doi = {10.1117/12.2083293},
  url = {https://doi.org/10.1117/12.2083293},
  researchr = {https://researchr.org/publication/ProkushkinG15},
  cites = {0},
  citedby = {0},
  pages = {939604},
  booktitle = {Image Quality and System Performance XII, San Francisco, California, United States, 8-12 February 2015},
  editor = {Mohamed-Chaker Larabi and Sophie Triantaphillidou},
  volume = {9396},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781628414868},
}