Fourier-transform Ghost Imaging for pure phase object based on Compressive Sampling algorithm

TL;DR

This paper introduces a novel Fourier-transform ghost imaging method for pure phase objects using compressive sampling, enhancing diffraction imaging efficiency and resolution in X-ray, neutron, and electron applications.

Contribution

It presents a new algorithm combining Fourier-transform ghost imaging with compressive sampling for pure phase objects, improving imaging efficiency and resolution.

Findings

Simulation results confirm the feasibility of the method.

Experimental results demonstrate successful Fourier spectrum reconstruction.

The approach enhances diffraction imaging capabilities for various particles.

Abstract

A special algorithm for the Fourier-transform Ghost Imaging (GI) scheme is discussed based on the Compressive Sampling (CS) theory. Though developed mostly in real space, 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. Simulation and experiment results are also presented to prove the feasibility.