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Improving Imaging Quality of Real-time Fourier Single-pixel Imaging via Deep Learning
Fourier single pixel imaging (FSPI) is well known for reconstructing high quality images but only at the cost of long imaging time. For real-time applications, FSPI relies on under-sampled reconstructions, failing to provide high quality images. In order to improve imaging quality of real-time FSPI,...
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| I publikationen: | Sensors (Basel) |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6806619/ https://ncbi.nlm.nih.gov/pubmed/31569622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19194190 |
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