Momentum accelerated unfolding network with spectral-spatial prior for computational spectral imaging
Abstract: Highlights•MAUN with learnable hyper-parameters and Momentum methods ensures better accuracy.•A reprojection loss is proposed to improve the reconstruction accuracy of HIS.•MAUNSS exceeds the previous SOTA methods while requiring less memory costs.
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