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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175605/ https://www.ncbi.nlm.nih.gov/pubmed/32355410 http://dx.doi.org/10.1007/s10851-016-0662-8 |