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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Bibliographic Details
Published inPlasma science & technology Vol. 15; no. 12; pp. 1259 - 1262
Main Author 张美 李阳 盛亮 黎春花 魏福利 彭博东
Format Journal Article
LanguageEnglish
Published 01.12.2013
Subjects
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
Online AccessGet full text
ISSN1009-0630
DOI10.1088/1009-0630/15/12/18

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Summary: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.
Bibliography: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.
ISSN:1009-0630
DOI:10.1088/1009-0630/15/12/18