R-L Method and BLS-GSM Denoising for Penumbra Image Reconstruction
When neutron yield is very low, reconstruction of coding penumbra image is rather difficult. In this paper, low-yield （109） 14 MeV neutron penumbra imaging was simulated by Monte Carlo method. The Richardson Lucy （R-L） iteration method was proposed to incorporated with Bayesian least square-Gaussian...
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| Published in | Plasma science & technology Vol. 15; no. 12; pp. 1259 - 1262 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.12.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1009-0630 |
| DOI | 10.1088/1009-0630/15/12/18 |
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| Abstract | When neutron yield is very low, reconstruction of coding penumbra image is rather difficult. In this paper, low-yield （109） 14 MeV neutron penumbra imaging was simulated by Monte Carlo method. The Richardson Lucy （R-L） iteration method was proposed to incorporated with Bayesian least square-Gaussian scale mixture model （BLS-GSM） wavelet denoising for the simulated image. Optimal number of R-L iterations was gotten by a large number of tests. The results show that compared with Wiener method and median filter denoising, this method is better in restraining background noise, the correlation coefficient Rsr between the reconstructed and the real images is larger, and the reconstruction result is better. |
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| AbstractList | When neutron yield is very low, reconstruction of coding penumbra image is rather difficult. In this paper, low-yield （109） 14 MeV neutron penumbra imaging was simulated by Monte Carlo method. The Richardson Lucy （R-L） iteration method was proposed to incorporated with Bayesian least square-Gaussian scale mixture model （BLS-GSM） wavelet denoising for the simulated image. Optimal number of R-L iterations was gotten by a large number of tests. The results show that compared with Wiener method and median filter denoising, this method is better in restraining background noise, the correlation coefficient Rsr between the reconstructed and the real images is larger, and the reconstruction result is better. |
| Author | 张美 李阳 盛亮 黎春花 魏福利 彭博东 |
| AuthorAffiliation | Northwest Institute of Nuclear Technology, Xi＇an 710024, China |
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| CitedBy_id | crossref_primary_10_1016_j_net_2024_08_008 crossref_primary_10_1063_5_0138742 crossref_primary_10_1016_j_nima_2024_169130 |
| Cites_doi | 10.1109/TMI.1982.4307558 10.1063/1.2174828 10.1016/j.nima.2007.06.005 10.1016/S0168-9002(02)00888-4 10.1109/TIP.2003.818640 10.1063/1.1534931 10.1088/0741-3335/49/8/003 10.1109/TSP.2002.804091 10.1063/1.2236281 |
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| Notes | inertial confinement fusion, neutron penumbra imaging, BLS-GSM Wavelet denoising, R-L iteration restoration 34-1187/TL When neutron yield is very low, reconstruction of coding penumbra image is rather difficult. In this paper, low-yield （109） 14 MeV neutron penumbra imaging was simulated by Monte Carlo method. The Richardson Lucy （R-L） iteration method was proposed to incorporated with Bayesian least square-Gaussian scale mixture model （BLS-GSM） wavelet denoising for the simulated image. Optimal number of R-L iterations was gotten by a large number of tests. The results show that compared with Wiener method and median filter denoising, this method is better in restraining background noise, the correlation coefficient Rsr between the reconstructed and the real images is larger, and the reconstruction result is better. |
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| References | 11 12 2 3 4 Portilla J (10) 2001; 2 6 Liu Dongjian (8) 2006; 18 Glebov V Y (1) 2006; 77 Zhao Zongqing (7) 2007; 49 Zhao Zongqing (5) 2008 Sendur L (9) 2002; 50 |
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| Snippet | When neutron yield is very low, reconstruction of coding penumbra image is rather difficult. In this paper, low-yield （109） 14 MeV neutron penumbra imaging... |
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| SubjectTerms | 中子产额 半影 图像重建 小波消噪 拟蒙特卡罗方法 滤波去噪 高斯混合模型 |
| Title | R-L Method and BLS-GSM Denoising for Penumbra Image Reconstruction |
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