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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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| Опубликовано в: : | Sensors (Basel) |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6603530/ https://ncbi.nlm.nih.gov/pubmed/31167471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19112549 |
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