Image Compressive Sensing via Hybrid Nonlocal Sparsity Regularization

This paper focuses on image compressive sensing (CS). As the intrinsic properties of natural images, nonlocal self-similarity and sparse representation have been widely used in various image processing tasks. Most existing image CS methods apply either self-adaptive dictionary (e.g., principle compo...

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Detalles Bibliográficos
Autores principales: Li, Lizhao, Xiao, Song, Zhao, Yimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582868/
https://www.ncbi.nlm.nih.gov/pubmed/33023040
http://dx.doi.org/10.3390/s20195666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582868/
https://www.ncbi.nlm.nih.gov/pubmed/33023040
http://dx.doi.org/10.3390/s20195666

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