Gold Matrix Ghost Imaging

TL;DR

This paper introduces a Gold matrix-based ghost imaging method that enhances image quality and noise resistance by leveraging the matrix's pseudo-randomness and orthogonality, demonstrated through simulations and experiments.

Contribution

The paper proposes a novel Gold matrix for ghost imaging, combining randomness and orthogonality to improve image quality and noise robustness.

Findings

Gold matrix improves image reconstruction quality.

Gold matrix exhibits superior noise immunity.

Experimental results confirm enhanced robustness.

Abstract

Light field modulation matrix is closely related to the quality of reconstructed image in ghost imaging. The orthogonality light field modulation matrix with better noise immunity and high quality reconstructed image is urgently needed in the practical application of ghost imaging. In this work, we propose a Gold matrix ghost imaging method with excellent imaging and anti-noise performance, which is proud of the pseudo-randomness and orthogonality of the deterministic Gold matrix. Numerical simulation and experimental results show that the Gold matrix has the characteristics of both random speckle and Hadamard matrix, and the reconstructed images are superior to the two modulation matrixes under the condition of noise, which shows better imaging robustness.