Design And Implementation Of Single Pixel Camera System Based On Spatial Light Modulator

The theory of compressive sensing and compressive sensing was dissertation and refined by Tao Zhexuan and others as an effective means to deal with the waste of resources when collecting signals.As an innovative field of signal processing theory,based on the property that most of the signals in nature have sparsity,the original information is sampled randomly rather than the Nyquist sampling rate rather than initially Blindly,we use the Shannon theorem to blindly sample the original information and then discard the useless data.Of course,the information collected by compressed sensing theory will contain the original information,so as to ensure that the original information will not be lost due to the lack of collected data.Then the reconstructed algorithm,which is based on the principle of solving the optimal solution with the minimum norm,is used to process the collected data so as to completely reconstruct the original information.In the meantime,with the application of computational imaging technology in recent years,new ideas and methods have been provided for imaging instead of complex array sensors.Different from the traditional imaging process,the technology modulates the target scene with a specially prepared spatial light modulator,and the returned modulation information is collected by the sensor light-sensitive surface of a specific wavelength band.The collected data and the pre-designed The modulation matrix is imported into the backend for recovery processing.Although in the visible wavelength band,the use of today's semiconductor manufacturing technology can be very simple to make a large area array sensor,which means that you can freely increase the size of the resolution,and affordable,but as the wavelength becomes larger,for Some complex scene recovery will be better than visible light imaging results,but the preparation of many special materials work in a special band array detector is very difficult,there will be a variety of equipment defects,so the need for a new Instead of the traditional imaging theory,the theory of compressive sensing and computational imaging can be combined to reduce the amount of data originally collected by using unit detectors and optical modulators,thereby saving storage and preparing arrays for special materials Sensors provide new imaging ideas.The main work is as follows:This topic will focus on the thought process represented by compressed perception,understand the mathematical model corresponding to theory,and fully understand the concept of compressed sensing and the characteristics of linear measurement and signal sparsity.Based on the compressed sensing theory,the basic principle of compressive sensing theory in optical imaging is verified through the process of single-pixel camera imaging system in visible light.The two components are familiar with the important components in single-pixel camera system construction.How to coordinate the work in order to achieve the purpose of imaging.By becoming familiar with the entire single-pixel imaging system component,a single-pixel imaging system in the visible range will be implemented on the hardware platform.Because of many factors that affect the system's signal-to-noise ratio,such as the interference of ambient light,By analyzing each of these factors and comparing them with the improved single-pixel camera system based on multimode fiber.Finally,since the single-pixel imaging system uses a unit detector,this means that the system has good expandability and is also the single-pixel camera's greatest advantage.By changing the wavelength range of the light source,the detector is changed to have a peak at a corresponding wavelength Responsive detector successfully achieved multispectral single-pixel imaging.