Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Optimal Stopping Time Formulation of Adaptive Image Filtering

Optimal Stopping Time Formulation of Adaptive Image Filtering 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Mathematics and Optimization Springer Journals

Optimal Stopping Time Formulation of Adaptive Image Filtering

Loading next page...
 
/lp/springer-journals/optimal-stopping-time-formulation-of-adaptive-image-filtering-AzbsgHIkY7

References (6)

Publisher
Springer Journals
Copyright
Copyright © 2001 by Springer-Verlag New York Inc.
Subject
Mathematics; Calculus of Variations and Optimal Control; Optimization; Systems Theory, Control; Theoretical, Mathematical and Computational Physics; Mathematical Methods in Physics; Numerical and Computational Physics
ISSN
0095-4616
eISSN
1432-0606
DOI
10.1007/s00245-001-0006-x
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Applied Mathematics and OptimizationSpringer Journals

Published: Jan 1, 2001

There are no references for this article.