Research On Hot - Ghost Imaging Driving Method And Higher - Order Correlation

The ghost imaging is a widely studied imaging method in recent years, its imaging properties attract attention gradually. As a new imaging method, ghost imaging recovers the space light information of the object by using second-order coherence light. Compared with traditional imaging method, ghost imaging still can obtain better imaging results in harsh or noisy optical environment. The thermal light ghost imaging can obtain the light source relatively simplier, and also has a larger advantage on imaging, which has a broad application prospect in various fields.Based on the classical second-order correlation functions and the principle of conform measuring, the classical thermal light ghost imaging theory is described and the classical ghost imaging of the experimental pseudo-thermal light source is completed without lens. The principle of computational ghost imaging is studied and the ghost imaging driven approach is designed by using the spatial light modulator and the LABVIEW. Using the laser and white light as the thermal light, the computational ghost imaging experience is completed,In order to improve the quality of ghost imaging, the high-order ghost imaging method is studied. This paper introduces contrast and carrier to noise ratio as the image quality evaluation index of the high-order ghost imaging. The theoretical analysis and numerical simulation about contrast and carrier to noise ratio of the high-order ghost imaging are carried on respectively. Based on the numerical simulated data, the higher order ghost image quality assessment method and higher order ghost imaging image quality evaluation model is put forward. The results of the numerical simulation shows that the optimal order number is closely related to the effective pixels. So the optimal order number and the effective pixels are simulated with the image quality assessment method and the image quality evaluation model. On the basis, the best fitting function is obtained by curve fitting. And through the experimental simulation, the correctness of the fitted curve is proved.