We consider the restoration of discrete signals and images using least-squares with non-convex regularization. Our goal is to understand how the restoration of edges at the (local) minimizers of the cost function is determined by the shape of the regularization term. This question is of paramount importance for a relevant choice of regularization term. We… (More)