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Progressive compressive sensing of large images with multiscale deep learning reconstruction
Compressive sensing (CS) is a sub-Nyquist sampling framework that has been employed to improve the performance of numerous imaging applications during the last 15 years. Yet, its application for large and high-resolution imaging remains challenging in terms of the computation and acquisition effort...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068919/ https://www.ncbi.nlm.nih.gov/pubmed/35508516 http://dx.doi.org/10.1038/s41598-022-11401-7 |