Patterns for ghost imaging generated by the Ising model

TL;DR

This paper introduces novel illumination patterns for digital ghost imaging generated by the Ising model, demonstrating their effectiveness through simulations and experiments, especially at low temperatures and with multiple measurements.

Contribution

It proposes using Ising model-based patterns for ghost imaging, a novel approach that improves image quality compared to random patterns, and extends to quantum ghost imaging.

Findings

Low-temperature Ising patterns outperform random patterns in ghost imaging.

Ising masks are effective in quantum ghost imaging.

Applying different temperature Ising patterns yields high-quality images with fewer measurements.

Abstract

We offer new illumination patterns for imaging in all-digital ghost imaging (GI) systems. The digital patterns, written as computer generated holograms on spatial light modulators (SLM), are generated by the Ising model, a well-known ferromagnetic model. In general, Ising patterns are affected by the system temperature and magnetic field. For a modest number of measurements in GI, our simulations suggest that low-temperature Ising patterns outperform random patterns. We also experimentally confirm that Ising masks can be used in quantum GI. Moreover, we present a strategy for applying Ising patterns of different temperatures to obtain high-quality images with the number of measurements approximately equal to the number of pixels in the image.