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...
| Main Authors: | , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado: |
Royal Society
2021
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