Supplementary Material Improved Imaging by Invex Regularizers with Global Optima Guarantees Samuel Pinilla

In this proof we seek to guarantee that the list of functions in Table 2 are invex. To address sub-optimal limitations of convex regularizers, non-convex mappings have been proposed. On the other hand, in the case of minimax-concave-type of regularizers, we present a new function in our manuscript (Eq. We propose to study regularizer in Eq. In this appendix we seek to guarantee that the proximal operator of the functions in Table 2 are invex.