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Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models
We consider a bilevel optimisation approach for parameter learning in higher-order total variation image reconstruction models. Apart from the least squares cost functional, naturally used in bilevel learning, we propose and analyse an alternative cost based on a Huber-regularised TV seminorm. Diffe...
Tallennettuna:
| Julkaisussa: | J Math Imaging Vis |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer US
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7175605/ https://ncbi.nlm.nih.gov/pubmed/32355410 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10851-016-0662-8 |
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