In this paper, we propose a new technique for optimum parameter selection in non-quadratic
radar image restoration. Although both the regularization hyper-parameter and the norm
value are influential factors in the characteristics of the formed restoration, most existing
optimization methods either require memory intensive computation or prior knowledge of the
noise. Here, we present a contrast measure-based method for automated hyper-parameter
selection. The proposed method is then extended to optimize the norm value used in non …