摘要
提出将超快压缩成像技术应用于脉冲功率加速器焦斑图像测量。采用MATLAB软件模拟正向成像过程,实现迭代收缩等3种重建算法。以相关系数作为评价标准,优化重建算法经验参数。采用快速投影梯度算法,迭代次数11次、正则化参数0.5,去噪效果最优。采用两步迭代收缩算法收敛速度快,可调参数(α、β)设置为(1.3,0.5),可获得高质量的重建图像。结果表明,重建算法满足基于压缩感知的脉冲功率加速器焦斑超快成像应用需求。
Ultrafast photography based on compressed sensing is applied to diagnose the focal spot of accelerators.The encoding process is simulated based on forward model.Three restoration algorithms are realized by MATLAB software.Parameters of the algorithms are optimized according to the correlation coefficient.Fast projected gradient denoising method can reveal high quality denoising images if iteration times is set to 11 and regularization parameter is set to 0.5.Two-step iterative shrinkage/thresholding algorithm can reveal high quality restoration images if(α、β)are set to(1.3,0.5).The simulation results show that the restoration images acquired by the proposed algorithms coincide with the input images well.The restoration algorithms can be applied to diagnose the focal spot of accelerators based on compressed sensing radiography.
作者
姚志明
盛亮
宋岩
宋顾周
马继明
段宝军
严维鹏
YAO Zhi-ming;SHENG Liang;SONG Yan;SONG Gu-zhou;MA Ji-ming;DUAN Bao-jun;YAN Wei-peng(Northwest Institute of Nuclear Technology,State Key Laboratory of Intense Pulsed Radiation and Effect,Xi'an 710024,China)
出处
《核电子学与探测技术》
CAS
北大核心
2023年第1期158-162,共5页
Nuclear Electronics & Detection Technology
基金
强脉冲辐射环境模拟与效应国家重点实验室基金(SKLIPR1704)资助
关键词
辐射成像
压缩感知
图像重建
迭代收缩
radiography
compressed sensing
image restoration
iterative shrinkage
