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Cosinusoidal encoding multiplexed structured illumination multispectral ghost imaging
Optics Express
|October 15, 2022
Summary
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.
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.
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