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An approach to vectorial total variation based on geometric measure theory

An approach to vectorial total variation based on geometric measure theory

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GOLDLÜCKE, Bastian, Daniel CREMERS, 2010. An approach to vectorial total variation based on geometric measure theory. CVPR 2010. San Francisco, USA, Jun 13, 2010 - Jun 18, 2010. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, California, USA, 13-18 June 2010; Vol. 1. Piscataway, NJ:IEEE, pp. 327-333. ISSN 1063-6919. ISBN 978-1-4244-6984-0. Available under: doi: 10.1109/CVPR.2010.5540194

@inproceedings{Goldlucke2010-06appro-40773, title={An approach to vectorial total variation based on geometric measure theory}, year={2010}, doi={10.1109/CVPR.2010.5540194}, isbn={978-1-4244-6984-0}, issn={1063-6919}, address={Piscataway, NJ}, publisher={IEEE}, booktitle={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, California, USA, 13-18 June 2010; Vol. 1}, pages={327--333}, author={Goldlücke, Bastian and Cremers, Daniel} }

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