Computational ghost imaging by means of Fourier spectrum acquisition

Abstract

Computational ghost imaging (CGI) is a innovative technique capable of performing imaging with a single-pixel detector (SP) by illuminating the scene with an ensemble of random patterns and calculating the correlation of those patterns and the object. Therefore, it's based on a statistical model. Nevertheless, this way of carrying out an image reconstruction presents some issues regarding long data-acquisition time and a low reconstruction quality. Recently, a new computational imaging technique called Fourier ghost imaging (FGI) was proposed which can reconstruct images by acquiring their Fourier spectrum, therefore making use of a deterministic model. Simulations on both methods are performed with its corresponding analysis on the efficiency and their robustness against noise. Our work may provide a guideline for researchers to decide whether or not they use a ghost imaging technique