R-L Method and BLS-GSM Denoising for Penumbra Image Reconstruction

被引：4
|
作者：
Zhang Mei [1 ]
Li Yang [1 ]
Sheng Liang [1 ]
Li Chunhua [1 ]
Wei Fuli [1 ]
Peng Bodong [1 ]
机构：
[1] Northwest Inst Nucl Technol, Xian 710024, Peoples R China
来源：
PLASMA SCIENCE & TECHNOLOGY | 2013年 / 15卷 / 12期
关键词：
inertial confinement fusion; neutron penumbra imaging; BLS-GSM Wavelet denoising; R-L iteration restoration;
D O I：
10.1088/1009-0630/15/12/18
中图分类号：
O35 [流体力学]; O53 [等离子体物理学];
学科分类号：
070204 ; 080103 ; 080704 ;
摘要：
When neutron yield is very low, reconstruction of coding penumbra image is rather difficult. In this paper, low-yield (10(9)) 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 R between the reconstructed and the real images is larger, and the reconstruction result is better.
引用
收藏
页码：1259 / 1262
页数：4
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