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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)...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766124/ https://www.ncbi.nlm.nih.gov/pubmed/29329298 http://dx.doi.org/10.1371/journal.pone.0182240 |