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Deep Learning-Based Joint Reconstruction and System Optimization for Single-Shot Compressive Spectral Imaging

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Abstract

We develop a joint reconstruction and system optimization method for snapshot spectral imaging with diffractive lenses. The method learns the diffractive lens design parameters jointly with a 3D deep prior in an unrolled reconstruction. Results illustrate the significance of jointly optimizing the prior and design parameters.

© 2022 The Author(s)

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