Computational Ghost Imaging

TL;DR

This paper introduces a computational ghost imaging technique that uses a single-pixel detector to produce background-free images and 3D imaging capabilities, highlighting the classical nature of ghost-image formation.

Contribution

It presents a novel computational arrangement for ghost imaging that simplifies the setup and enhances imaging features compared to traditional methods.

Findings

Achieves background-free imaging in the narrowband limit

Provides 3D sectioning capability

Demonstrates classical nature of ghost-image formation

Abstract

Ghost-imaging experiments correlate the outputs from two photodetectors: a high spatial-resolution (scanning pinhole or CCD camera) detector that measures a field which has not interacted with the object to be imaged, and a bucket (single-pixel) detector that collects a field that has interacted with the object. We describe a computational ghost-imaging arrangement that uses only a single-pixel detector. This configuration affords background-free imagery in the narrowband limit and a 3D sectioning capability. It clearly indicates the classical nature of ghost-image formation.