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

ZHANG Mei (张美); LI Yang (李阳); SHENG Liang (盛亮); WEI Fuli (魏福利); PENG Bodong (彭博东)

doi:10.1088/1009-0630/15/12/18

Plasma Science and Technology > 2013 > 15(12): 1259-1262. > DOI: 10.1088/1009-0630/15/12/18

ZHANG Mei (张美), LI Yang (李阳), SHENG Liang (盛亮), WEI Fuli (魏福利), PENG Bodong (彭博东). R-L Method and BLS-GSM Denoising for Penumbra Image Reconstruction[J]. Plasma Science and Technology, 2013, 15(12): 1259-1262. DOI: 10.1088/1009-0630/15/12/18

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

Northwest Institute of Nuclear Technology, Xi’an 710024, China

Funds: supported by National Natural Science Foundation of China (No.11105106)

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Received Date: December 24, 2011

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Abstract

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 R _srbetween the reconstructed and the real images is larger, and the reconstruction result is better.

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