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Single image super-resolution based on approximated Heaviside functions and iterative refinement
One method of solving the single-image super-resolution problem is to use Heaviside functions. This has been done previously by making a binary classification of image components as “smooth” and “non-smooth”, describing these with approximated Heaviside functions (AHFs), and iteration including l(1)...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5766124/ https://ncbi.nlm.nih.gov/pubmed/29329298 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0182240 |
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