Instant Ghost Imaging: Algorithm and On-chip Implementation

TL;DR

This paper introduces an instant ghost imaging technique with a differential algorithm and on-chip hardware, enabling real-time, memory-efficient image reconstruction suitable for practical applications.

Contribution

The paper presents a novel instant ghost imaging algorithm and a high-speed on-chip hardware system that significantly reduces memory use and enables immediate image reconstruction.

Findings

Reduces memory requirements without degrading image quality.

Enables immediate image reconstruction after measurement.

Potential for real-time, practical ghost imaging applications.

Abstract

Ghost imaging (GI) is an imaging technique that uses the correlation between two light beams to reconstruct the image of an object. Conventional GI algorithms require large memory space to store the measured data and perform complicated offline calculations, limiting practical applications of GI. Here we develop an instant ghost imaging (IGI) technique with a differential algorithm and an implemented high-speed on-chip IGI hardware system. This algorithm uses the signal between consecutive temporal measurements to reduce the memory requirements without degradation of image quality compared with conventional GI algorithms. The on-chip IGI system can immediately reconstruct the image once the measurement finishes; there is no need to rely on post-processing or offline reconstruction. This system can be developed into a realtime imaging system. These features make IGI a faster, cheaper, and more compact alternative to a conventional GI system and make it viable for practical applications of GI.