基于压缩采样算法的傅里叶变换鬼像成像
Fourier-transfrom Ghost Imaging based on Compressive Sampling algorithm
摘要：
基于压缩采样（CS）理论，讨论了傅里叶变换鬼像（GI）的一种特殊算法。通过设置适当的传感矩阵，CS算法也可用于纯相位物体的傅里叶谱重建。这将为X射线、中子和电子衍射成像提供更高的效率和分辨率。最后给出了实验结果，验证了该方法的可行性.
英文摘要：
A special algorithm for the Fourier-transform Ghost Imaging (GI) scheme is discussed based on the Compressive Sampling (CS) theory. The CS algorithm could also be used for the Fourier spectrum reconstruction of pure phase object by setting a proper sensing matrix. This could find its application in diffraction imaging of X-ray, neutron and electron with higher efficiency and resolution. Experiment results are also presented to prove the feasibility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
