Optimizing Ghost Imaging via Analysis and Design of Speckle Patterns

TL;DR

This paper investigates how speckle size affects ghost imaging quality, identifies an optimal speckle size, and introduces a new speckle pattern design that enhances imaging performance for practical applications.

Contribution

It analyzes the influence of speckle size on ghost imaging and proposes a novel displacement speckle pattern to improve image quality over traditional random patterns.

Findings

Image quality peaks at an optimal speckle size.

Displacement speckle patterns outperform random speckle patterns.

The study advances practical ghost imaging applications.

Abstract

We study the influence rules of the speckle size of light source on ghost imaging, and propose a new type of speckle patterns to improve the quality of ghost imaging. The results show that the image quality will first increase and then decrease with the increase of the speckle size, and there is an optimal speckle size for a specific object. Moreover, by using the random distribution of speckle positions, a new type of displacement speckle patterns is designed, and the imaging quality is better than that of the random speckle patterns. These results are of great significances for finding the best speckle patterns suitable for detecting targets, which further promotes the practical applications of ghost imaging.