压缩感知在条纹相机成像中的应用

刘爱林; 张敬金; 郭宝平; 杨勤劳; 袁清钰; 雷宝国; 邱振富

doi:doi:10.3788/gzxb20184705.0525001

光子学报, 2018, 47 (5): 0525001, 网络出版: 2018-09-07

压缩感知在条纹相机成像中的应用

Application of Compressed Sensing in the Streak Camera Imaging

论文大纲

刘爱林 ^1,2,*张敬金 ¹郭宝平 ¹杨勤劳 ¹袁清钰 ¹雷宝国 ¹邱振富 ¹

作者单位

¹ 深圳大学光电工程学院光电子器件与系统教育部重点实验室, 广东深圳 518006

² 湖南科技学院电子信息工程学院, 湖南永州425100

摘要

条纹空间分辨率从中心到边缘逐渐降低, 为了改善条纹管像面的边缘空间分辨率, 构造了一个基于压缩感知的条纹相机成像重构模型.压缩感知目标函数采用正交匹配法实现, 并对重构参数进行了优化.原成像结果与重构结果对比表明：压缩感知重构图的对比度比原图提高了5%, 极限分辨率比原图提高了2 lp/mm, 并且离轴远区的改善效果好于中心区的改善效果.压缩感知重构方法可以改善像面边缘的成像对比度从而提高条纹相机成像的静态空间分辨率.

Abstract

It is found that the resolution of the striations is reduced from the center to the edge. In order to improve the edge spatial resolution of the streak, the compression sensing is applied to the X-ray streak camera imaging system. The compressed sensing reconstruction model is constructed for the streak camera, the compressed sensing objective function is implemented by orthogonal matching method, and the reconstruction parameters are optimized. After the original image is compared with the reconstructed image, the result shows that the contrast ratio of the compressed sensing reconstruction is 5% higher than the original; the limit resolution is 2lp/mm higher than the original image, furthermore, the improvement effect far from the central area is better than that of the central area. The compressed sensing reconstruction can improve image contrast ratio on the edge of image, thus, the static spatial resolution of the image is improved.

参考文献

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刘爱林, 张敬金, 郭宝平, 杨勤劳, 袁清钰, 雷宝国, 邱振富. 压缩感知在条纹相机成像中的应用[J]. 光子学报, 2018, 47(5): 0525001. LIU Ai-lin, ZHANG Jing-jin, GUO Bao-ping, YANG Qin-lao, YUAN Qing-yu, LEI Bao-guo, QIU Zhen-fu. Application of Compressed Sensing in the Streak Camera Imaging[J]. ACTA PHOTONICA SINICA, 2018, 47(5): 0525001.

压缩感知在条纹相机成像中的应用

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