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We demonstrate a compact, cost-effective snapshot spectral imaging system
named Aperture Diffraction Imaging Spectrometer (ADIS), which consists only of
an imaging lens with an ultra-thin orthogonal aperture mask and a mosaic filter
sensor, requiring no additional physical footprint compared to common RGB
cameras. Then we introduce a new optical design that each point in the object
space is multiplexed to discrete encoding locations on the mosaic filter sensor
by diffraction-based spatial-spectral projection engineering generated from the
orthogonal mask. The orthogonal projection is uniformly accepted to obtain a
weakly calibration-dependent data form to enhance modulation robustness.
Meanwhile, the Cascade Shift-Shuffle Spectral Transformer (CSST) with strong
perception of the diffraction degeneration is designed to solve a
sparsity-constrained inverse problem, realizing the volume reconstruction from
2D measurements with Large amount of aliasing. Our system is evaluated by
elaborating the imaging optical theory and reconstruction algorithm with
demonstrating the experimental imaging under a single exposure. Ultimately, we
achieve the sub-super-pixel spatial resolution and high spectral resolution
imaging. The code will be available at: https://github.com/Krito-ex/CSST.
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