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  • Articles: DFG German National Licenses  (1)
  • Electronic Resource  (1)
  • Key words. Computer vision, Variational convergence. AMS Classification. 45L05, 49F22.  (1)
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  • Articles: DFG German National Licenses  (1)
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  • Electronic Resource  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Applied mathematics & optimization 41 (2000), S. 51-85 
    ISSN: 1432-0606
    Keywords: Key words. Computer vision, Variational convergence. AMS Classification. 45L05, 49F22.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: 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.
    Type of Medium: Electronic Resource
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