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Hyperspectral restoration is a preprocessing step for hyperspectral imagery. In this letter, we propose a parameter-free method for the restoration of hyperspectral images (HSIs) called HyRes. The restoration method is based on a sparse low-rank model that uses the $\ell _{1}$ penalized least squares for estimating the unknown signal. The Stein’s unbiased risk estimator is exploited to select all...
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