Supplementary Material ATrainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration AImplementation details

In this section, we provide additional implementation details, which are useful to reproduce our experiments (note that the code is also provided). For each band i J0,c 1K, the standard deviation of the Gaussian noise is defined as: σi = βexp " 1 4η2 i c 1 2 A basic centering step is used for each input patch of our model. More precisely, for the first layer, each band of the input hyperspectral image is centered independently prior to patches extraction, and means are added back after decoding. For the second layer, patches are centered independently for each band (and similarly, the means are added back after decoding). Code and patch sizes The hyperparameters of our model are presented in Table 1.