Compressive Sensing via Nonlocal Smoothed Rank Function

Compressive sensing (CS) theory asserts that we can reconstruct signals and images with only a small number of samples or measurements. Recent works exploiting the nonlocal similarity have led to better results in various CS studies. To better exploit the nonlocal similarity, in this paper, we propo...

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Detalles Bibliográficos
Autores principales: Fan, Ya-Ru, Huang, Ting-Zhu, Liu, Jun, Zhao, Xi-Le
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008797/
https://www.ncbi.nlm.nih.gov/pubmed/27583683
http://dx.doi.org/10.1371/journal.pone.0162041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008797/
https://www.ncbi.nlm.nih.gov/pubmed/27583683
http://dx.doi.org/10.1371/journal.pone.0162041

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