Enhancement of damaged-image prediction through Cahn–Hilliard image inpainting

We assess the benefit of including an image inpainting filter before passing damaged images into a classification neural network. We employ an appropriately modified Cahn–Hilliard equation as an image inpainting filter which is solved numerically with a finite-volume scheme exhibiting reduced comput...

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Detalles Bibliográficos
Autores principales: Carrillo, José A., Kalliadasis, Serafim, Liang, Fuyue, Perez, Sergio P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131946/
https://www.ncbi.nlm.nih.gov/pubmed/34046183
http://dx.doi.org/10.1098/rsos.201294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131946/
https://www.ncbi.nlm.nih.gov/pubmed/34046183
http://dx.doi.org/10.1098/rsos.201294

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