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Improved Compressive Sensing of Natural Scenes Using Localized Random Sampling
Compressive sensing (CS) theory demonstrates that by using uniformly-random sampling, rather than uniformly-spaced sampling, higher quality image reconstructions are often achievable. Considering that the structure of sampling protocols has such a profound impact on the quality of image reconstructi...
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| Publicado en: | Sci Rep |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4995494/ https://ncbi.nlm.nih.gov/pubmed/27555464 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep31976 |
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