2017
Bayesian reconstruction of hyperspectral images by using compressed sensing measurements and a local structured prior
ICASSP 2017accepted
This paper introduces a hierarchical Bayesian model for the reconstruction of hyperspectral images using compressed sensing measurements. This model exploits known properties of natural images, promoting the recovered image to be sparse on a selected basis and smooth in the image domain. The posteri…