Adaptive Compressive Sensing of Images Using Spatial Entropy

Compressive Sensing (CS) realizes a low-complex image encoding architecture, which is suitable for resource-constrained wireless sensor networks. However, due to the nonstationary statistics of images, images reconstructed by the CS-based codec have many blocking artifacts and blurs. To overcome the...

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Detalles Bibliográficos
Autores principales: Li, Ran, Duan, Xiaomeng, Guo, Xiaoli, He, Wei, Lv, Yongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5672129/
https://www.ncbi.nlm.nih.gov/pubmed/29201042
http://dx.doi.org/10.1155/2017/9059204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5672129/
https://www.ncbi.nlm.nih.gov/pubmed/29201042
http://dx.doi.org/10.1155/2017/9059204

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