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...

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Detalles Bibliográficos
Autores principales: De los Reyes, J. C., Schönlieb, C.-B., Valkonen, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Article
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

Internet

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

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