Laser & Optoelectronics Progress, Volume. 58, Issue 6, 610004(2021)

X-Ray Image Reconstruction Based on Hierarchical Model and Low-Rank Approximation

Wang Jiayu, Xu Jinxin, and Li Qingwu*
Author Affiliations
  • College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China
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    References(24)

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    [12] Lucka F. Fast Gibbs sampling for high-dimensional Bayesian inversion[J]. Inverse Problems, 32, 115019(2016).

    [15] Yao Z W, Hu Z X, Li J L. A TV-Gaussian prior for infinite-dimensional Bayesian inverse problems and its numerical implementations[J]. Inverse Problems, 32, 075006(2016).

    [17] Fowler M J, Howard M, Luttman A et al. A stochastic approach to quantifying the blur with uncertainty estimation for high-energy X-ray imaging systems[J]. Inverse Problems in Science and Engineering, 24, 353-371(2016).

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    Wang Jiayu, Xu Jinxin, Li Qingwu. X-Ray Image Reconstruction Based on Hierarchical Model and Low-Rank Approximation[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610004

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    Paper Information

    Category: Image Processing

    Received: Jul. 31, 2020

    Accepted: --

    Published Online: Mar. 11, 2021

    The Author Email: Qingwu Li (li_qingwu@163.com)

    DOI:10.3788/LOP202158.0610004

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