Dual-Channel Reconstruction Network for Image Compressive Sensing

The existing compressive sensing (CS) reconstruction algorithms require enormous computation and reconstruction quality that is not satisfying. In this paper, we propose a novel Dual-Channel Reconstruction Network (DC-Net) module to build two CS reconstruction networks: the first one recovers an ima...

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Detalles Bibliográficos
Autores principales: Zhang, Zhongqiang, Gao, Dahua, Xie, Xuemei, Shi, Guangming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603530/
https://www.ncbi.nlm.nih.gov/pubmed/31167471
http://dx.doi.org/10.3390/s19112549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603530/
https://www.ncbi.nlm.nih.gov/pubmed/31167471
http://dx.doi.org/10.3390/s19112549

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