Alexandros Gkillas

A Highly Interpretable Deep Equilibrium Network for Hyperspectral Image Deconvolution

In this paper, a novel technique for the hyperspectral image deconvolution problem is developed. First, considering the highly ill-posed nature of the examined problem, it is imperative to incorporate proper priors (regularizers) to capture the strong spectral and spatial dependencies of the hypersp…