Spectral domain ghost imaging

TL;DR

This paper introduces a novel spectral domain ghost imaging method that captures correlated images in a single shot by leveraging wavelength diversity instead of time averaging, enhancing efficiency and potential applications.

Contribution

The paper presents a new spectral domain approach for ghost imaging that reduces data acquisition time by replacing temporal averaging with wavelength-based averaging.

Findings

Enables single-shot ghost imaging using spectral diversity.

Reduces data collection time compared to traditional methods.

Potential for real-time imaging applications.

Abstract

In the last few years,the field of ghost imaging has seen many new developments. From computational ghost imaging to 3D ghost imaging, this field has shown many interesting applications. But the method of obtaining an image in ghost imaging experiments still requires data to be recorded over long duration of time due to averaging over many shots of data. We propose a method to get the intensity correlated images in one shot by averaging over different wavelength components rather than different time components.