Fourier-transfrom Ghost Imaging based on Compressive Sampling algorithm

TL;DR

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

Contribution

It presents a new CS-based algorithm for Fourier-transform ghost imaging that improves image reconstruction of phase objects with higher efficiency and resolution.

Findings

Successful experimental validation of the CS-based Fourier ghost imaging.

Enhanced resolution and efficiency in diffraction imaging.

Potential applications in X-ray, neutron, and electron imaging.

Abstract

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.