Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation

In this paper, a single-computed tomography (CT) image super-resolution (SR) reconstruction scheme is proposed. This SR reconstruction scheme is based on sparse representation theory and dictionary learning of low- and high-resolution image patch pairs to improve the poor quality of low-resolution C...

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Detalles Bibliográficos
Autores principales: Jiang, Changhui, Zhang, Qiyang, Fan, Rui, Hu, Zhanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996061/
https://www.ncbi.nlm.nih.gov/pubmed/29892023
http://dx.doi.org/10.1038/s41598-018-27261-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996061/
https://www.ncbi.nlm.nih.gov/pubmed/29892023
http://dx.doi.org/10.1038/s41598-018-27261-z

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