Learning a Spatially-Variant Propagation Model for Compressive Spectral Imaging

We propose a methodology for reconstruction of compressive spectral imaging from an uncalibrated optical system, where the propagation model is learned and included as regularizer to improve the reconstruction quality.

Computational Optical Sensing and Imaging 2023