Name
Abstract | ||
|---|---|---|
This paper describes an approach for performing image restoration using a coupled differential system that both simplifies the image while preserving its contrast. The first process corresponds to a differential inclusion involving discrete Total Variations that simplifies more and more the observed image as time evolves. The second one extracts some pertinent geometric information contained in the series of simplified images and recovers the constrast using Bregman distances. Convergence and exact computational properties of the method rely on the discrete and combinatorial properties of discrete Total Variations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-19867-0_39 | DGCI |
Keywords | Field | DocType |
exact computational property,bregman distance,observed image,differential inclusion,discrete total variations,combinatorial property,pertinent geometric information,image restoration,process corresponds,discrete total variation scale,differential system,network flows,total variation,differential inclusions,scale space | Convergence (routing),Differential inclusion,Flow network,Combinatorics,Differential systems,Computer science,Scale space,Total variation denoising,Image denoising,Image restoration | Conference |
Volume | ISSN | Citations |
6607 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Igor Ciril | 1 | 1 | 1.04 |
| Jérôme Darbon | 2 | 512 | 41.96 |