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

doi:10.1088/1674-1056/22/10/104202

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: zhaozongqing99@gmail.com

Cite this article:

Zhao Zong-Qing (赵宗清), He Wei-Hua (何卫华), Wang Jian (王剑), Hao Yi-Dan (郝轶丹), Cao Lei-Feng (曹磊峰), Gu Yu-Qiu (谷渝秋), Zhang Bao-Han (张保汉) An improved deconvolution method for X-ray coded imaging in inertial confinement fusion 2013 Chin. Phys. B 22 104202

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

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