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R-L Method and BLS-GSM Denoising for Penumbra Image Reconstruction
Authors:ZHANG Mei;LI Yang;SHENG Liang;LI Chunhua;WEI Fuli;PENG Bodong
Affiliation:ZHANG Mei;LI Yang;SHENG Liang;LI Chunhua;WEI Fuli;PENG Bodong;Northwest Institute of Nuclear Technology;
Abstract: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_(sr)between the reconstructed and the real images is larger,and the reconstruction result is better.
Keywords:inertial confinement fusion  neutron penumbra imaging  BLS-GSM Wavelet denoising  R-L iteration restoration
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