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Asymptotic Behavior of a Geman and McClure Discrete Model
Authors:M. Rosati
Affiliation:(1) Istituto per le Applicazioni del Calcolo M. Picone, del C.N.R., Viale del Policlinico 137, 00161 Rome, Italy , IT
Abstract:In this paper we consider a class of discrete variational models derived from a theory of Geman and McClure (see [15]) and study their asymptotic behavior when their stepsize tends to zero. It is shown that a result of Γ -convergence toward a certain functional holds true if a characteristic parameter of these models obeys a well-defined dependence law upon the stepsize. Under this condition the Γ -limit is a modified form of the Mumford—Shah functional. Accepted 19 June 1998
Keywords:. Computer vision   Variational convergence. AMS Classification. 45L05   49F22.
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