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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...

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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

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