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    Area of Science:

    • Optics
    • Computational Imaging
    • Spectroscopy

    Background:

    • Compressive spectral imaging (CSI) systems acquire 3D spatio-spectral data using 2D projections.
    • Traditional CSI employs coded apertures for data cube modulation, often using photomasks on piezoelectric devices.
    • A recent advancement involves "colored" coded apertures (patterned optical filter arrays) for spatial and spectral modulation.

    Purpose of the Study:

    • To propose a shifting colored coded aperture optimization for improved CSI reconstruction quality.
    • To develop a cost-effective and less complex optical implementation for CSI systems.
    • To enable CSI data acquisition with a limited number of filters and a single mask.

    Main Methods:

    • Development of a mathematical model for the computational imaging strategy.
    • Implementation of a shifting colored coded aperture design.
    • Validation through simulations and experimental testbed results.

    Main Results:

    • The proposed shifting colored coded aperture design enhances imaging quality reconstruction.
    • Achieved a practical optical implementation with a reduced number of filters.
    • Demonstrated the ability to acquire data with a single mask for any number of shots.

    Conclusions:

    • The shifting colored coded aperture optimization effectively overcomes practical limitations in current CSI systems.
    • The proposed design offers superior accuracy and performance compared to existing literature.
    • This advancement facilitates more accessible and efficient spatio-spectral data cube acquisition.