Design And Implementation Of Pseudo Thermal Light Correlation Imaging Based On Compressive Sensing

Quantum imaging,also called ghost imaging,is a new imaging method that has arisen in recent years.Based on the second-order or high-order correlation function of the light field,two or more detectors are used to perform the coincidence measurement to realize the correlation reconstruction of the unknown target.Ghost imaging has drawn the attention of many researchers because of its special non-local imaging property and excellent anti-noise performance.Ghost imaging device has broad application prospect with simple structure and super-resolution capability.However,in order to obtain a reconstructed image with high quality,ghost imaging needs to collect a large amount of data,taking a long time and having a large workload in the later period,which limits the development.Compressive ghost imaging is effective in reducing the number of measurements.In this paper,the key theory of ghost imaging is described,and verified from two aspects of simulation and experiment,focusing on analyzing the relationship between reconstructed image quality and sampling rate.Through the analysis of measurement matrix,sparse representation and reconstruction algorithm in the compressive sensing theory,the combination of this theory and the ghost imaging is realized.Through the simulation and experiment,it is found that compressive sensing ghost imaging has both the advantages of improving image quality and reducing the sampling rate.By improving the data processing algorithm we further improve the recovery effect.Based on the results of relevant researchers,the resolution of compressed sensing imaging is further investigated.It is found that the resolution of reconstructed images can be doubled without reference to the prior knowledge of images.