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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Bibliographic Details
Main Authors: Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2018/9262847
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