多模差分鬼成像

提出了多模差分鬼成像技术(MWDGI)可以提高鬼成像的信噪比(SNR).对使用旋转的毛玻璃板和空间光调制系统的两种情况的MWDGI分别做出了理论分析.研究结果表明MWDGI结合了差分鬼成像(DGI)和多模鬼成像(MWGI)的优点,能够显著提高各种类型物体的鬼成像的SNR.     

量子非定域衍射实验

基于量子成像技术和衍射现象设计了验证量子非定域衍射实验.使用LabVIEW程序控制桶探测器和CCD相机同时拍照,使用Matlab程序对桶探测器拍的图像和CCD相机拍的图像求和运算,得到量子非定域衍射图像.     

Computational ghost imaging with deep compressed sensing

Computational ghost imaging (CGI) provides an elegant framework for indirect imaging, but its application has been restricted by low imaging performance. Herein, we propose a novel approach that significantly improves the imaging performance of CGI. In this scheme, we optimize the conventional CGI data processing algorithm by using a novel compressed sensing (CS) algorithm based on a deep convolution generative adversarial network (DCGAN). CS is used to process the data output by a conventional CGI device. The processed data are trained by a DCGAN to reconstruct the image. Qualitative and quantitative results show that this method significantly improves the quality of reconstructed images by jointly training a generator and the optimization process for reconstruction via meta-learning. Moreover, the background noise can be eliminated well by this method.