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首页> 外文期刊>Advances in OptoElectronics >Application of M Sequence Family Measurement Matrix in Streak Camera Imaging
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Application of M Sequence Family Measurement Matrix in Streak Camera Imaging

机译:M序列族测量矩阵在条纹相机成像中的应用

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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.
机译:本研究通过分析成像原理和条纹管的静态实验测试,研究了从中心到边缘的条纹分辨率的降低。为了提高条纹的边缘空间分辨率,我们将压缩感测应用于X射线条纹相机成像系统,并构建条纹相机的压缩感测(CS)重建模型,并通过正交匹配方法实现CS目标函数。比较了高斯测量矩阵,伯努利测量矩阵和M系列族测量矩阵的重建性能,并优化了重建参数。原始成像结果与重建结果之间的比较表明,CS重建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,远离中心地区的改善效果要好于中心地区。通过在M系列族测量矩阵上进行CS重建,可以提高图像边缘的图像对比度,从而提高了图像的静态和动态空间分辨率。

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