ML Anthology

Super-Resolution via Recapture and Bayesian Effect Modeling

Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura
CVPR 2009 pp. 2388-2395
doi:10.1109/CVPR.2009.5206691 /cvpr/2009/toronto2009cvpr-super/
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Cite

Text

Toronto et al. "Super-Resolution via Recapture and Bayesian Effect Modeling." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009. doi:10.1109/CVPR.2009.5206691

Markdown

[Toronto et al. "Super-Resolution via Recapture and Bayesian Effect Modeling." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009.](https://mlanthology.org/cvpr/2009/toronto2009cvpr-super/) doi:10.1109/CVPR.2009.5206691

BibTeX

@inproceedings{toronto2009cvpr-super,
  title     = {{Super-Resolution via Recapture and Bayesian Effect Modeling}},
  author    = {Toronto, Neil and Morse, Bryan S. and Seppi, Kevin D. and Ventura, Dan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2009},
  pages     = {2388-2395},
  doi       = {10.1109/CVPR.2009.5206691},
  url       = {https://mlanthology.org/cvpr/2009/toronto2009cvpr-super/}
}