Title
Regularization with Metric Double Integrals of Functions with Values in a Set of Vectors
Abstract
We present an approach for variational regularization of inverse and imaging problems for recovering functions with values in a set of vectors. We introduce regularization functionals, which are derivative-free double integrals of such functions. These regularization functionals are motivated from double integrals, which approximate Sobolev semi-norms of intensity functions. These were introduced in Bourgain et al. (Another look at Sobolev spaces. In: Menaldi, Rofman, Sulem (eds) Optimal control and partial differential equations-innovations and applications: in honor of professor Alain Bensoussan’s 60th anniversary, IOS Press, Amsterdam, pp 439–455, 2001). For the proposed regularization functionals, we prove existence of minimizers as well as a stability and convergence result for functions with values in a set of vectors.
Year
DOI
Venue
2019
10.1007/s10851-018-00869-6
Journal of Mathematical Imaging and Vision
Keywords
Field
DocType
Regularization, Manifold-valued data, Non-convex, Metric, Double integral, Fractional Sobolev space, Bounded variation
Convergence (routing),Applied mathematics,Inverse,Discrete mathematics,Optimal control,Sobolev space,Partial derivative,Regularization (mathematics),Multiple integral,Mathematics
Journal
Volume
Issue
ISSN
61
6
0924-9907
Citations 
PageRank 
References 
0
0.34
17
Authors
3
Name
Order
Citations
PageRank
R. Ciak170.83
Melanie Hirzmann200.34
Otmar Scherzer334652.10