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Cosinusoidal encoding multiplexed structured illumination multispectral ghost imaging.

Yusong Sun, Huang Jian, Dongfeng Shi

|October 15, 2022

Summary

This summary is machine-generated.

This study introduces a novel cosinusoidal encoding method for multispectral ghost imaging, enabling faster, more efficient capture of detailed spectral information with a simpler system setup.

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Area of Science:

Optics and Photonics
Computational Imaging
Information Science

Background:

Multispectral ghost imaging offers richer information than single-band methods but often suffers from complex setups and long reconstruction times.
Existing systems present limitations in terms of structural complexity and computational efficiency for acquiring detailed spectral data.

Purpose of the Study:

To propose a novel cosinusoidal encoding multiplexed structured illumination multispectral ghost imaging approach.
To overcome the limitations of existing systems by enhancing imaging efficiency and reducing reconstruction time.
To enable high-dimensional information acquisition with a simplified and faster ghost imaging technique.

Main Methods:

A cosinusoidal encoding strategy is developed, fusing specific frequency characteristics with orthogonal Hadamard basis patterns for multiplexed structured illumination.
A single-pixel detector and broadband photomultiplier collect backscattered signals from the target object.
The multispectral image is reconstructed using Fourier transform on the mixed grayscale image, leveraging the frequency distribution of the encoding matrices.

Main Results:

The proposed method successfully captures multispectral images within a single projection cycle.
High imaging efficiency and low time consumption were achieved, addressing key limitations of prior systems.
Numerical simulations and experimental results validated the effectiveness of the cosinusoidal encoding approach for accurate reconstruction.

Conclusions:

The cosinusoidal encoding multiplexed structured illumination offers an efficient and simplified method for multispectral ghost imaging.
This technique significantly reduces reconstruction time and system complexity.
The approach has potential applications in other high-dimensional information acquisition fields, including high-resolution and polarization ghost imaging.