Application of M Sequence Family Measurement Matrix in Streak Camera Imaging

Q3 Engineering
Ailin Liu, Jinjin Zhang, B. Guo
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引用次数: 0

Abstract

This study investigates the reduction in the resolution of the striations from the center to the edge through analysis of the imaging principle and the static experimental test of a streak tube. To improve the edge spatial resolution of the streak, we apply the compressed sensing to the X-ray streak camera imaging system and construct the compressed sensing (CS) reconstruction model for the streak camera and we implement the CS objective function by the orthogonal matching method. The reconstruction performance of the Gauss measurement matrix, Bernoulli measurement matrix, and M series family measurement matrix are compared, and the reconstruction parameters are optimized. A comparison between the original imaging results and the reconstruction results shows that the contrast ratio of the CS reconstruction is 12.2% higher than that of the original, and the limit resolution is 5 lp/mm higher than that of the original image. Furthermore, the improvement effect far from the central area is better than that at the central area. The CS reconstruction on the M series family measurement matrix can improve the image contrast ratio on the edge of the image, and, thus, static and dynamic spatial resolutions of the image are improved.
M序列族测量矩阵在条纹相机成像中的应用
通过对条纹管成像原理的分析和静态实验测试,研究了条纹管从中心到边缘的分辨率降低问题。为了提高条纹的边缘空间分辨率,将压缩感知技术应用于x射线条纹相机成像系统,构建了条纹相机的压缩感知(CS)重建模型,并通过正交匹配方法实现了CS目标函数。比较了高斯测量矩阵、伯努利测量矩阵和M级数族测量矩阵的重建性能,并对重建参数进行了优化。原始成像结果与重建结果的对比表明,CS重建图像的对比度比原始图像高12.2%,极限分辨率比原始图像高5 lp/mm。此外,远离中心区域的改善效果优于中心区域。在M系列族测量矩阵上进行CS重构,可以提高图像边缘的图像对比度,从而提高图像的静态和动态空间分辨率。
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来源期刊
Advances in Optoelectronics
Advances in Optoelectronics ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
1.30
自引率
0.00%
发文量
0
期刊介绍: Advances in OptoElectronics is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of optoelectronics.
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