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基于阈值分割的并行压缩鬼成像方法
引用本文:杨照华,李大鹏,彭宏韬,吴令安.基于阈值分割的并行压缩鬼成像方法[J].光学技术,2016(4):289-293.
作者姓名:杨照华  李大鹏  彭宏韬  吴令安
作者单位:1. 北京航空航天大学 仪器科学与光电工程学院,北京,100191;2. 中国科学院大学物理所,北京,100190
基金项目:总装预研基金(37708901)
摘    要:为了提高鬼成像的速度,提出了基于阈值分割的并行压缩差分鬼成像方法。首先通过设置合理的阈值筛选出涨落较为明显的数据进行采样;然后再通过并行分块降低图像维度,提高整体运算速度;最后通过压缩感知重构算法重构图像。通过对图"BUAA"的半物理仿真以及透射物体"光"的实验结果表明,与普通的二阶赝热光关联成像相比,该方法能以更少的采样次数和运行时间重构图像,可提升成像信噪比。

关 键 词:并行计算  差分鬼成像  压缩感知  鬼成像

Parallel compressive ghost imaging based on threshold segmentation
YANG zhaohua;LI dapeng;PENG hongtao;WU lingan.Parallel compressive ghost imaging based on threshold segmentation[J].Optical Technique,2016(4):289-293.
Authors:YANG zhaohua;LI dapeng;PENG hongtao;WU lingan
Institution:YANG zhaohua;LI dapeng;PENG hongtao;WU lingan;School of Instrumentation Science and Optoelectronics Engineering,Beihang University;Institute of Physics,Chinese Academy of Sciences;
Abstract:To improve the speed of ghost imaging,the parallel compressed differential ghost imaging method is pro-posed based on threshold segmentation (TS-PCGI).Firstly,the large fluctuation of sampled data is selected by setting a reasonable threshold.Secondly,parallel computing divides the image into four parts.Finally,the image is restored through compressed sensing reconstruction algorithm.The results of a semi-physical simulated figure“BUAA”and ex-perimental obj ectlightshow that this method can restore the obj ect image with less sampling and time compared with conventional second-order correlated imaging.The signal noise ratio is improved.
Keywords:parallel computing  difference ghost imaging  compressed sensing  ghost imaging
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