- Full Variation Denoising by way of the Moreau Envelope(arXiv)
Creator : Ivan Selesnick
Abstract : Full variation denoising is a nonlinear filtering approach properly fitted to the estimation of piecewise-constant indicators observed in additive white Gaussian noise. The technique is printed by the minimization of a selected non-differentiable convex worth carry out. This paper describes a generalization of this worth carry out that will yield additional right estimation of piecewise mounted indicators. The model new worth carry out features a non-convex penalty (regularizer) designed to handle the convexity of the charge carry out. The model new penalty relies on the Moreau envelope. The proposed full variation denoising approach is perhaps carried out using forward-backward splitting.
2.Convergence of Options and their Moreau Envelopes on Hadamard Areas (arXiv)
Creator : Miroslav Bačák, Martin Montag, Gabriele Steidl
Abstract : A widely known outcomes of H. Attouch states that the Mosco convergence of a sequence of right convex lower semicontinuous options outlined on a Hilbert home is the same as the pointwise convergence of the associated Moreau envelopes. Throughout the present paper we generalize this consequence to Hadamard areas. Further precisely, whereas it has already been recognized that the Mosco convergence of a sequence of convex lower semicontinuous options on a Hadamard home implies the pointwise convergence of the corresponding Moreau envelopes, the converse implication was an open question. We now fill this gap. Our consequence has a variety of penalties. It implies, for instance, the equivalence of the Mosco and Frolík-Wijsman convergences of convex models. As one different software program, we current that there exists a whole metric on the cone of right convex lower semicontinuous options on a separable Hadamard home such {{that a}} sequence of options converges on this metric if and supplied that it converges throughout the sense of Mosco
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