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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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| 出版年: | Opt Lett |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | 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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