基于压缩感知的数字全息成像技术

提出一种基于压缩感知理论和数字全息术的数字全息压缩成像技术。通过传统相移数字全息技术获取干涉图样,将干涉同样投影到测量矩阵上,通过计算內积直接获取全息压缩数据。这些数据经过传统通信信道传输后,利用压缩感知重构算法获得原始全息数据,然后经过菲涅尔逆变换得到原始图像。实验仿真结果证明了这种压缩全息成像方法的可行性。

Digital holographic imaging based on compressive sensing

In this paper,we propose a pure optical compression method for hologram compression,which is based on compressive sensing(CS)theory and digital holography.We first use phase-shifting holography to generate holograms of an object,and then address the acquisition step by measuring the inner products between the hologram and the pseudo-random binary patterns generated by the computer.After receiving the compressed data via conventional communication channel,we reconstruct the original object using certain signal recovery algorithms of CS theory and hologram reconstruction techniques.Computer simulations demonstrated the feasibility and the efficiency of the proposed method.