Domino successive-deviation ghost imaging

TL;DR

This paper introduces a domino successive-deviation ghost imaging method that offers high-quality, real-time positive-negative images with improved robustness against noise, advancing the practical application of ghost imaging.

Contribution

It presents a novel ghost imaging technique that enhances image quality, robustness, and real-time processing, providing new insights into positive-negative ghost image phenomena.

Findings

Comparable image quality to differential ghost imaging

Enhanced robustness in noisy and unstable conditions

Feasibility demonstrated through simulations and experiments

Abstract

Traditional ghost imaging acquires images via the correlation of the intensity fluctuations of reference patterns and bucket values, and can even generate positive-negative images by conditionally averaging partial patterns. Here, we propose a domino successive-deviation ghost imaging method, which owns a good image quality comparable to that of differential ghost imaging with real-time fast computation, and a better robustness in practical scenarios where measurement noise and the instability of illuminating source coexists. Furthermore, it happens to generate real-time positive and negative images, giving a new insight into physical essence of positive-negative ghost image phenomenon. Both simulation and experimental results have demonstrated the feasibility of our approach. Therefore, this work complements the theory of ghost imaging and opens a door to practical applications of real-time single-pixel imaging.