Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting

Given a low-resolution image, there are many challenges to obtain a super-resolved, high-resolution image. Many of those approaches try to simultaneously upsample and deblur an image in signal domain. However, the nature of the super-resolution is to restore high-frequency components in frequency do...

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Detalles Bibliográficos
Autores principales: Kawamura, Naoki, Yokota, Tatsuya, Hontani, Hidekata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139240/
https://www.ncbi.nlm.nih.gov/pubmed/30245706
http://dx.doi.org/10.1155/2018/9262847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139240/
https://www.ncbi.nlm.nih.gov/pubmed/30245706
http://dx.doi.org/10.1155/2018/9262847

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