典型文献
Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging
文献摘要:
We propose a method for imaging a periodic moving/state-changed object based on computational ghost imaging with Hadamard speckle patterns and a slow bucket detector,named as PO-HCGI.In the scheme,speckle patterns are produced from a part of each row of a Hadamard matrix.Then,in each cycle,multiple speckle patterns are projected onto the periodic moving/state-changed object,and a bucket detector with a slow sampling rate records the total intensities reflected from the object as one measurement.With a series of measurements,the frames of the moving/state-changed object can be obtained directly by the second-order correlation function based on the Hadamard matrix and the corresponding bucket detector measurement results.The experimental and simulation results demonstrate the validity of the PO-HCGI.To the best of our knowledge,PO-HCGI is the first scheme that can image a fast periodic moving/state-changed object by computational ghost imaging with a slow bucket detector.
文献关键词:
中图分类号:
作者姓名:
Hui Guo;Le Wang;Sheng-Mei Zhao
作者机构:
Institute of Signal Processing and Transmission,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;College of Information Engineering,Fuyang Normal University,Fuyang 236037,China
文献出处:
引用格式:
[1]Hui Guo;Le Wang;Sheng-Mei Zhao-.Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging)[J].中国物理B(英文版),2022(08):436-443
A类:
HCGI
B类:
Imaging,periodic,moving,state,changed,object,Hadamard,computational,ghost,imaging,We,propose,method,speckle,patterns,slow,bucket,detector,named,PO,In,scheme,are,produced,from,part,each,row,matrix,Then,cycle,multiple,projected,onto,sampling,records,total,intensities,reflected,one,With,series,measurements,frames,can,obtained,directly,by,second,order,correlation,function,corresponding,results,experimental,simulation,demonstrate,validity,To,best,our,knowledge,is,first,that,image,fast
AB值:
0.436559
相似文献
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。