Optimal stopping time formulation of adaptive image filtering

被引：17

作者：

Dolcetta, IC

Ferretti, R

机构：

[1] Univ Rome La Sapienza, Dipartimento Matemat, I-00185 Rome, Italy

[2] Univ Roma Tor Vergata, Dipartimento Matemat, I-00133 Rome, Italy

来源：

APPLIED MATHEMATICS AND OPTIMIZATION | 2001年 / 43卷 / 03期

关键词：

image filtering; scale choice; optimal stopping time;

D O I：

10.1007/s00245-001-0006-x

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper presents an approach to image filtering based on an optimal stopping time problem for the evolution equation describing the filtering kernel. This approach allows us to obtain easily an adaptivity of the filter with respect to the noise level, Well-posedness of the problem and convergence of fully discrete approximations are proved and numerical examples are presented and discussed.

引用

页码：245 / 258

页数：14

共 8 条

[1] IMAGE SELECTIVE SMOOTHING AND EDGE-DETECTION BY NONLINEAR DIFFUSION .2. [J].