Edge-preserving nonnegative hyperspectral image restoration

We consider a hyperspectral image restoration problem in which the solution is known to be nonnegative. The image estimate is obtained as the constrained minimizer of a convex criterion incorporating prior information on its spatial and spectral regularity. We previously proposed a fast algorithm for Tikhonov regularization. Here, we adapt this algorithm to edge-preserving image restoration.