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Chin. Phys. B, 2013, Vol. 22(10): 104202    DOI: 10.1088/1674-1056/22/10/104202

An improved deconvolution method for X-ray coded imaging in inertial confinement fusion

Zhao Zong-Qinga b, He Wei-Huaa b, Wang Jiana b, Hao Yi-Dana b, Cao Lei-Fenga b, Gu Yu-Qiua b, Zhang Bao-Hana b
a Science and Technology on Plasma Physics Laboratory, Mianyang 621900, China;
b Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China
Abstract  In inertial confinement fusion (ICF), X-ray coded imaging is considered as the most potential means to diagnose the compressed core. The traditional Richardson–Lucy (RL) method has a strong ability to deblur the image where the noise follows the Poisson distribution. However, it always suffers from over-fitting and noise amplification, especially when the signal-to-noise ratio of image is relatively low. In this paper, we propose an improved deconvolution method for X-ray coded imaging. We model the image data as a set of independent Gaussian distributions and derive the iterative solution with a maximum-likelihood scheme. The experimental results on X-ray coded imaging data demonstrate that this method is superior to the RL method in terms of anti-overfitting and noise suppression.
Keywords:  inertial confinement fusion      coded imaging      deconvolution      Gaussian distribution      maximum-likelihood  
Received:  06 December 2012      Revised:  21 February 2013      Accepted manuscript online: 
PACS:  42.30.Va (Image forming and processing)  
Fund: Project supported by the National High-Tech ICF Committee of China, Foundation of China Academy of Engineering Physics (Grant Nos. 2009A0102003 and 2011B0102021), and the National Natural Science Foundation of China (Grant No. 10905051).
Corresponding Authors:  Zhao Zong-Qing     E-mail:

Cite this article: 

Zhao Zong-Qing, He Wei-Hua, Wang Jian, Hao Yi-Dan, Cao Lei-Feng, Gu Yu-Qiu, Zhang Bao-Han An improved deconvolution method for X-ray coded imaging in inertial confinement fusion 2013 Chin. Phys. B 22 104202

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