Title
Deblurring and Denoising of Images by Nonlocal Functionals
Abstract
This paper investigates the use of regularization functionals with nonlocal correlation terms for the problem of image denoising and image deblurring. These functionals are expressed as integrals over the Cartesian product of the pixel space. We show that the class of neighborhood filters can be described in this framework. Using these functionals we can consider the functional analytic properties of some of these neighborhood filters and show how they can be seen as regularization terms using a smoothed version of the Prokhorov metric. Moreover, we de. ne a nonlocal variant of the well-known bounded variation regularization, which does not suffer from the staircase effect. We show existence of a minimizer of the corresponding regularization functional for the denoising and deblurring problem, and we present some numerical examples comparing the nonlocal version to the bounded variation regularization and the nonlocal mean filter.
Year
DOI
Venue
2005
10.1137/050622249
MULTISCALE MODELING & SIMULATION
Keywords
Field
DocType
nonlocal functionals,image processing,bounded variation,nonlocal mean filter,neighborhood filter,Prokhorov metric,denoising,deblurring,energy method
Noise reduction,Mathematical optimization,Median filter,Deblurring,Mathematical analysis,Cartesian product,Image processing,Regularization (mathematics),Pixel,Bounded variation,Mathematics
Journal
Volume
Issue
ISSN
4
4
1540-3459
Citations 
PageRank 
References 
148
8.71
6
Authors
3
Search Limit
100148
Name
Order
Citations
PageRank
Stefan Kindermann129319.60
Stanley Osher27973514.62
Peter W. Jones396753.82