Spectral ghost imaging camera with super-Rayleigh modulator

TL;DR

This paper introduces a super-Rayleigh modulator for spectral ghost imaging cameras, significantly enhancing noise immunity and image quality at low sampling rates, especially under weak-light conditions.

Contribution

It proposes a universal method to generate super-Rayleigh speckle patterns, improving the robustness and performance of GISC spectral cameras.

Findings

Enhanced noise immunity demonstrated through simulations and experiments.

Higher imaging quality achieved at low sampling rates.

Effective in weak-light illumination scenarios.

Abstract

A spectral camera based on ghost imaging via sparsity constraints (GISC) acquires a spectral data-cube (x; y; {\lambda}) through a single exposure. The noise immunity of the system is one of the important factors affecting the quality of the reconstructed images, especially at low sampling rates. Tailoring the intensity to generate super-Rayleigh speckle patterns which have superior noise immunity may offer an effective route to promote the imaging quality of GISC spectral camera. According to the structure of GISC spectral camera, we proposed a universal method for generating super-Rayleigh speckle patterns with customized intensity statistics based on the principle of reversibility of light. Simulation and experimental results demonstrate that, within a wide imaging spectral bandwidth, GISC spectral camera with super-Rayleigh modulator not only has superior noise immunity, but also has higher imaging quality at low sampling rates. This work will promote the application of GISC spectral camera by improving the quality of imaging results, especially in weak-light illumination.