arXiv · 1710.05571
Discrete stochastic approximations of the Mumford-Shah functional
Abstract
We propose a $\Gamma$-convergent discrete approximation of the Mumford-Shah functional. The discrete functionals act on functions defined on stationary stochastic lattices and take into account general finite differences through a non-convex potential. In this setting the geometry of the lattice strongly influences the anisotropy of the limit functional. Thus we can use statistically isotropic lattices and stochastic homogenization techniques to approximate the vectorial Mumford-Shah functional in any dimension.
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Matthias Ruf. 2017-10-16. Discrete stochastic approximations of the Mumford-Shah functional. https://doi.org/10.1016/j.anihpc.2018.10.004
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