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An Approach to Vectorial Total Variation Based on Geometric Measure Theory

Bastian Goldlücke, Daniel Cremers
CVPR 2010 pp. 327-333
doi:10.1109/CVPR.2010.5540194 /cvpr/2010/goldlucke2010cvpr-approach/
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Cite

Text

Goldlücke and Cremers. "An Approach to Vectorial Total Variation Based on Geometric Measure Theory." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5540194

Markdown

[Goldlücke and Cremers. "An Approach to Vectorial Total Variation Based on Geometric Measure Theory." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/goldlucke2010cvpr-approach/) doi:10.1109/CVPR.2010.5540194

BibTeX

@inproceedings{goldlucke2010cvpr-approach,
  title     = {{An Approach to Vectorial Total Variation Based on Geometric Measure Theory}},
  author    = {Goldlücke, Bastian and Cremers, Daniel},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {327-333},
  doi       = {10.1109/CVPR.2010.5540194},
  url       = {https://mlanthology.org/cvpr/2010/goldlucke2010cvpr-approach/}
}