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Experimental demonstration of spectral domain computational ghost imaging
Piotr Ryczkowski1, Caroline G Amiot2, John M Dudley3
1Laboratory of Photonics, Tampere University, 33101, Tampere, Finland. piotr.ryczkowski@tuni.fi.
Scientific Reports
|April 17, 2021
Summary
We developed computational spectral-domain ghost imaging using a programmable spectral filter. This technique enhances signal-to-noise ratio and reduces parasitic light for remote spectral measurements.
Area of Science:
- Optics and Photonics
- Computational Imaging
- Spectroscopy
Background:
- Traditional ghost imaging often requires complex light collection optics.
- Parasitic light can degrade signal quality in imaging systems.
- Accurate spectral measurements are crucial for various scientific and industrial applications.
Purpose of the Study:
- To demonstrate a novel computational spectral-domain ghost imaging technique.
- To improve signal-to-noise ratio and reduce parasitic light effects.
- To enable remote broadband spectral measurements.
Main Methods:
- Encoding complementary Fourier patterns onto the spectrum of a superluminescent laser diode using a programmable spectral filter.
- Utilizing spectral encoding before the object for uniform illumination.
- Applying computational reconstruction algorithms for image formation.
Main Results:
- Achieved computational spectral-domain ghost imaging without light collection optics.
- Demonstrated increased signal-to-noise ratio compared to conventional methods.
- Successfully measured wavelength-dependent transmission of optical components.
Conclusions:
- The developed technique offers a simplified and more robust approach to ghost imaging.
- Spectral encoding before the object enhances system performance.
- This method opens new possibilities for remote spectral sensing and characterization.
