# Differential ghost imaging in time domain

## TL;DR

This paper demonstrates that differential ghost imaging in the time domain using pseudo-randomized light pulses improves signal-to-noise ratios and robustness over traditional time-domain ghost imaging, with efficient data recording methods.

## Contribution

It introduces temporal differential ghost imaging (TDGI) with pseudo-randomized pulses and shows its advantages over conventional methods in signal quality and data efficiency.

## Key findings

- TDGI achieves higher and more consistent signal-to-noise ratios.
- Dynamic local averaging reduces data recording needs.
- TDGI outperforms non-differential time-domain ghost imaging.

## Abstract

Differential ghost imaging was attempted in time domain, i.e., temporal differential ghost imaging (TDGI), using pseudo-randomized light pulses and a temporal object consisting of no-return-to-zero bit patterns of varying duty. Evaluation of the signal-to-noise characteristics by taking account of errors due to false cross-correlation between the reference and the bucket detector readings indicates that the TDGI outperforms its non-differential counterpart, i.e., time-domain GI, in terms of consistently high and even duty-independent signal-to-noise ratios that are achieved. Dynamic local averaging helps save data recording without compromising the essential features of the TDGI.