Title
Image Decomposition and Restoration Using Total Variation Minimization and the H1
Abstract
In this paper, we propose a new model for image restoration and image decomposition into cartoon and texture, based on the total variation minimization of Rudin, Osher, and Fatemi [Phys. D, 60 ( 1992), pp. 259-268], and on oscillatory functions, which follows results of Meyer [Oscillating Patterns in Image Processing and Nonlinear Evolution Equations, Univ. Lecture Ser. 22, AMS, Providence, RI, 2002]. This paper also continues the ideas introduced by the authors in a previous work on image decomposition models into cartoon and texture [L. Vese and S. Osher, J. Sci. Comput., to appear]. Indeed, by an alternative formulation, an initial image f is decomposed here into a cartoon part u and a texture or noise part v. The u component is modeled by a function of bounded variation, while the v component is modeled by an oscillatory function, bounded in the norm dual to \.\(H01). After some transformation, the resulting PDE is of fourth order, envolving the Laplacian of the curvature of level lines. Finally, image decomposition, denoising, and deblurring numerical results are shown.
Year
DOI
Venue
2003
10.1137/S1540345902416247
MULTISCALE MODELING & SIMULATION
Keywords
DocType
Volume
total variation,image decomposition,cartoon,texture,restoration,partial differential equation,functional minimization
Journal
1
Issue
ISSN
Citations 
3
1540-3459
188
PageRank 
References 
Authors
23.52
8
3
Search Limit
100188
Name
Order
Citations
PageRank
Stanley Osher17973514.62
Andrés Solé218823.52
Luminita A. Vese35389302.64