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    This study introduces an illuminant augmentation method and a novel mamba-based network for snapshot spectral compressive imaging (SSCI). The approach enhances hyperspectral reconstruction and generalization across diverse light sources.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Machine Learning

    Background:

    • Snapshot spectral imaging is crucial but often overfits to specific illuminants due to limited light source diversity.
    • Conventional RGB cameras using Color Filter Arrays (CFAs) face metamerism, limiting spectral information encoding.
    • Existing methods struggle with generalization across varied lighting conditions, hindering real-world applications.

    Purpose of the Study:

    • To develop an illuminant augmentation technique for improving the generalization ability of snapshot spectral imaging systems.
    • To optimize a diffractive optics element (DOE) for phase coding to overcome CFA limitations.
    • To introduce a novel mamba-based network for enhanced spectral reconstruction performance.

    Main Methods:

    • An illuminant augmentation strategy was employed to train the system on diverse light sources.
    • A diffractive optics element (DOE) was optimized for end-to-end phase coding, enabling joint phase-wavelength coding.
    • A novel mamba-based network, Snapshot Spectral Compressive Imaging Mamba (SSCIM), was developed for spectral reconstruction.
    • A well-calibrated hyperspectral dataset was collected for rigorous testing.

    Main Results:

    • The proposed phase-wavelength joint coding compressive imaging system demonstrated superior generalization compared to conventional RGB cameras.
    • The SSCIM network achieved state-of-the-art performance in hyperspectral reconstruction.
    • The method showed significant improvements in handling illuminant variations.

    Conclusions:

    • The developed illuminant augmentation and SSCIM network effectively improve hyperspectral reconstruction and generalization.
    • The joint phase-wavelength coding system offers a robust solution for snapshot spectral imaging under varying light conditions.
    • This work advances the field by addressing key limitations in spectral imaging generalization and performance.