Application Of Structured Compressive Sensing On Ghost Imaging

Quantum correlation imaging technology,also known as "Ghost Imaging",in this paper,a method of obtaining image by using quantum entanglement and fluctuation characteristic or controlling intensity association of light field is provided,which breaks through the three major defects of classical imaging and solves some problems that can not be solved by classical imaging scheme.In recent years,it has become one of the frontiers and hotspots in the field of quantum optics.This paper studies the application of structured compression sensing in ghost imaging.The specific content is as follows:Firstly,based on the research of Computational Ghost imaging scheme and the compression sensing scheme,considering the prior knowledge of the image and the structure characteristic,the paper introduces the structure concept,and proposes a structured compression sensing ghost imaging scheme.In this scheme,a structural observation link is added to the traditional compression sensing scheme,the structure characteristic of the image is analyzed,and the corresponding observation matrix is matched,the DCT matrix is used as the observation matrix of the image,and the images of the object are obtained by the OMP recovery method in the compressed perceptual reconstruction.Combining with the theory,the simulation and experiment are carried out,and the simulation and experimental results show that the scheme can fully recover the image under the condition of low sampling rate.Later,the paper considers that the general imaging method needs the same light path as the object and the detector.It is not considered that the object can not be directly imaged,and when the object's own resolution is small,due to the interference of the background light,the image quality is poor,a differential projector "street corner imaging" scheme is proposed.This scenario utilizes the diffuse reflection of the "Corner" wall,by using a bucket detector without spatial resolution to receive the reflected light,the image of the object cannot be imaged directly,and the difference information of the object is used as the object,and the difference value is substituted for the intensity of the light,minus the average intensity fluctuation of ambient noise,and the noise effect is reduced.Improve imaging quality.