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Unrolling-Based Deep Reconstruction for Compressive Spectral Imaging

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Abstract

We develop a novel deep learning-based reconstruction method for compressive spectral imaging with diffractive lenses. The method incorporates U-Net based 3D deep prior to the model-based reconstruction through unrolling. Results illustrate the state-of-the-art performance of our method.

© 2021 The Author(s)

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