Name
Abstract | ||
|---|---|---|
This paper deals with the denoising of SAR images. We draw our inspiration from the modeling of multiplicative speckle noise. By using a MAP estimator, we propose a functional whose minimizer corresponds to the denoised image we want to recover. Although the functional is not convex, we prove the existence of a minimizer. Then we study a semi-discrete version of the associated evolution problem, for which we derive existence and uniqueness results for the solution. We prove the convergence of this semi-discrete scheme. We conclude with some numerical results. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72823-8_7 | SSVM |
Keywords | Field | DocType |
multiplicative noise,denoised image,map estimator,minimizer corresponds,derive existence,numerical result,semi-discrete version,multiplicative speckle noise,sar image,semi-discrete scheme,nonconvex model,associated evolution problem,speckle noise | Noise reduction,Convergence (routing),Uniqueness,Discrete mathematics,Computer science,Synthetic aperture radar,Regular polygon,Speckle noise,Multiplicative noise,Estimator | Conference |
Volume | ISSN | Citations |
4485 | 0302-9743 | 2 |
PageRank | References | Authors |
0.37 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gilles Aubert | 1 | 1275 | 108.17 |
| Jean-François Aujol | 2 | 1176 | 82.39 |