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Improving non-line-of-sight image reconstruction with weighting factors
Non-line-of-sight (NLOS) imaging is a light-starving application that suffers from highly noisy measurement data. In order to recover the hidden scene with good contrast, it is crucial for the reconstruction algorithm to be robust against noises and artifacts. We propose here two weighting factors f...
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| Publicado en: | Opt Lett |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7416968/ https://ncbi.nlm.nih.gov/pubmed/32667319 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/OL.394742 |
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