Research Of Ghost Imaging With Thermal Light And Application Of Compressed Sensing

By coincidence measurement, ghost image provides a method to obtain spatial distributioninformation of the object in the optical idle. Classic thermal light is also a way to achieve ghostimaging,because it is more generally present in our lives (such as: sunlight), the technology ofclassical ghost imaging would be a more practical technology, and have important researchvalue.In this paper, the simulation of the ghost imaging process with thermal light is based onLabVIEW. In the simulation,we manufacture a non-coherent heat source by the superposition ofdependent random incoherent light,then the incoherent light is divided by a beam-splitterresulting in two beams of light,the object is expressed by a N×N distributing matrix and itsspatial information is modulated on the signal light. By coincidence counting,we can get imageof the object in the optical idle.The simulation results show that image quality of ghost imagingsignificantly improved as the increase of sampling resolution and sampling points.Compressed sensing theory is a signal processing method which rise in recent years, it canrecover the original signalwith the least number of times to sample the signal without losing theinformationg required for approximating the original signal.In this paper,OMP algorithm isstudied and used for the simulation of thermal light ghost imaging。By simulation ,wedemonstrate the feasibility of compressed sensing ghost imaging.