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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Detalles Bibliográficos
Autores principales: Barranca, Victor J., Kovačič, Gregor, Zhou, Douglas, Cai, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995494/
https://www.ncbi.nlm.nih.gov/pubmed/27555464
http://dx.doi.org/10.1038/srep31976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995494/
https://www.ncbi.nlm.nih.gov/pubmed/27555464
http://dx.doi.org/10.1038/srep31976

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