Non-local Functionals Related to the Total Variation and Connections with Image Processing

被引:16
|
作者
Brezis H. [1 ,2 ,3 ]
Nguyen H.-M. [4 ]
机构
[1] Department of Mathematics, Hill Center, Busch Campus, Rutgers University, 110 Frelinghuysen Road, Piscataway, 08854, NJ
[2] Departments of Mathematics and Computer Science, Technion, Israel Institute of Technology, Haifa
[3] Laboratoire Jacques-Louis Lions UPMC, 4 Place Jussieu, Paris
[4] EPFL SB MATHAA CAMA, Station 8, Lausanne
基金
美国国家科学基金会;
关键词
Bounded variation; Non-convex functional; Non-local functional; Sobolev spaces; Total variation; Γ; -Convergence;
D O I
10.1007/s40818-018-0044-1
中图分类号
学科分类号
摘要
We present new results concerning the approximation of the total variation, ∫ Ω| ∇ u| , of a function u by non-local, non-convex functionals of the form Λδ(u)=∫Ω∫Ωδφ(|u(x)-u(y)|/δ)|x-y|d+1dxdy,as δ→ 0 , where Ω is a domain in Rd and φ: [0 , + ∞) → [0 , + ∞) is a non-decreasing function satisfying some appropriate conditions. The mode of convergence is extremely delicate and numerous problems remain open. De Giorgi’s concept of Γ -convergence illuminates the situation, but also introduces mysterious novelties. The original motivation of our work comes from Image Processing. © 2018, Springer International Publishing AG, part of Springer Nature.
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