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Joint bayesian convolutional sparse coding for image super-resolution
We propose a convolutional sparse coding (CSC) for super resolution (CSC-SR) algorithm with a joint Bayesian learning strategy. Due to the unknown parameters in solving CSC-SR, the performance of the algorithm depends on the choice of the parameter. To this end, a coupled Beta-Bernoulli process is e...
Guardat en:
| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6124716/ https://ncbi.nlm.nih.gov/pubmed/30183722 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0201463 |
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