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...

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Detalles Bibliográficos
Autores principales: Ge, Qi, Shao, Wenze, Wang, Liqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124716/
https://www.ncbi.nlm.nih.gov/pubmed/30183722
http://dx.doi.org/10.1371/journal.pone.0201463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124716/
https://www.ncbi.nlm.nih.gov/pubmed/30183722
http://dx.doi.org/10.1371/journal.pone.0201463

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