ML Anthology

SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests

Jun-Jie Huang, Tianrui Liu, Pier Luigi Dragotti, Tania Stathaki
CVPRW 2017 pp. 1067-1075
doi:10.1109/CVPRW.2017.144 /cvprw/2017/huang2017cvprw-srhrf/
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Cite

Text

Huang et al. "SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017. doi:10.1109/CVPRW.2017.144

Markdown

[Huang et al. "SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017.](https://mlanthology.org/cvprw/2017/huang2017cvprw-srhrf/) doi:10.1109/CVPRW.2017.144

BibTeX

@inproceedings{huang2017cvprw-srhrf,
  title     = {{SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests}},
  author    = {Huang, Jun-Jie and Liu, Tianrui and Dragotti, Pier Luigi and Stathaki, Tania},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2017},
  pages     = {1067-1075},
  doi       = {10.1109/CVPRW.2017.144},
  url       = {https://mlanthology.org/cvprw/2017/huang2017cvprw-srhrf/}
}