Complex Acquisition of the Fourier Transform Imaging of an Arbitrary Object
Minghui Zhang, Jianfei Xu, and Xianfu Wang

TL;DR
This paper introduces a scheme for complex Fourier transform imaging that captures both real and imaginary parts of a diffraction field without prior knowledge of the object, demonstrated through numerical modeling.
Contribution
It presents a novel, algorithm-independent method for complex-valued Fourier transform imaging of arbitrary objects.
Findings
Successfully demonstrated with numerical modeling
Captures real and imaginary parts separately
No prior knowledge of the object needed
Abstract
A scheme to a complex-valued acquisition of the Fourier transform imaging was proposed. The main idea is to project the real and the imaginary parts of a diffraction field to intensity distributions respectively. The whole procedure was algorithm independent and needs no a priori knowledge of an arbitrary objet. An example was demonstrated with a numerical modeling and its results.
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