Image Superresolution Reconstruction via Granular Computing Clustering

The problem of generating a superresolution (SR) image from a single low-resolution (LR) input image is addressed via granular computing clustering in the paper. Firstly, and the training images are regarded as SR image and partitioned into some SR patches, which are resized into LS patches, the tra...

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Detalles Bibliográficos
Autores principales: Liu, Hongbing, Zhang, Fan, Wu, Chang-an, Huang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4291197/
https://www.ncbi.nlm.nih.gov/pubmed/25610456
http://dx.doi.org/10.1155/2014/219636

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4291197/
https://www.ncbi.nlm.nih.gov/pubmed/25610456
http://dx.doi.org/10.1155/2014/219636

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