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

页码：1259 / 1262

页数：4