Paper Info
Title
A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
Abstract
In this paper we summarize the main features of a new time dependent model to approximate the solution to the nonlinear total variation optimization problem for deblurring and noise removal introduced by Rudin, Osher and Fatemi. Our model is based on level set motion whose steady state is quickly reached by means of an explicit procedure based on an ENO Hamilton-Jacobi version of Roe's scheme. We show numerical evidence of the speed, resolution and stability of this simple explicit procedure in two representative 1D and 2D numerical examples.
Year
DOI
Venue
1999
10.1007/3-540-48236-9_38
Scale-Space
Keywords
Field
DocType
main feature,noise removal,explicit procedure,nonlinear deblurring,dependent model,level set motion,simple explicit procedure,numerical evidence,new time,eno hamilton-jacobi version,numerical example,new time dependent model,steady state,optimization problem,level set
Discrete mathematics,Applied mathematics,Mathematical optimization,Nonlinear system,Deblurring,Computer science,Euler–Lagrange equation,Level set,Steady state,Noise removal,Optimization problem
Conference
Volume
ISSN
ISBN
1682
0302-9743
3-540-66498-X
Citations 
PageRank 
References 
6
1.95
4
Authors
2
Name
Order
Citations
PageRank
Antonio Marquina143145.30
Stanley Osher27973514.62