Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. (arXiv:2112.15362v2 [eess.IV] UPDATED)

Recently, hyperspectral imaging (HSI) has attracted increasing research
attention, especially for the ones based on a coded aperture snapshot spectral
imaging (CASSI) system. Existing deep HSI reconstruction models are generally
trained on paired data to retrieve original signals upon 2D compressed
measurements given by a particular optical hardware mask in CASSI, during which
the mask largely impacts the reconstruction performance and could work as a
"model hyperparameter" governing on data augmentations. This mask-specific
training style will lead to a hardware …

arxiv graph graph-based network