Journal article
Enhancement of damaged-image prediction through Cahn–Hilliard image inpainting
- Abstract:
-
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 computational cost and the properties of energy stability and boundedness. The benchmark dataset employed is Modified National Institute of Standards and Technology (MNIST) dataset, which consists of bin...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- Royal Society Publisher's website
- Journal:
- Royal Society Open Science Journal website
- Volume:
- 8
- Issue:
- 5
- Article number:
- 201294
- Publication date:
- 2021-05-19
- Acceptance date:
- 2021-04-12
- DOI:
- EISSN:
-
2054-5703
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1120905
- Local pid:
- pubs:1120905
- Deposit date:
- 2021-04-21
Terms of use
- Copyright holder:
- Carrillo, JA et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
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