Name
Abstract | ||
|---|---|---|
We present a fast edge-preserving cascadic multilevel image restoration method for reducing blur and noise in contaminated images. The method also can be applied to segmentation. Our multilevel method blends linear algebra and partial differential equation techniques. Regularization is achieved by truncated iteration on each level. Prolongation is carried out by nonlinear edge-preserving and noise-reducing operators. A thresholding updating technique is shown to reduce "ringing" artifacts. Our algorithm combines deblurring, denoising, and segmentation within a single framework. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02256-2_36 | SSVM |
Keywords | Field | DocType |
single framework,edge-preserving cascadic multilevel image,partial differential equation technique,linear algebra,edge-preserving multilevel method,contaminated image,truncated iteration,nonlinear edge-preserving,multilevel method,restoration method,noise-reducing operator,partial differential equation,image restoration | Noise reduction,Linear algebra,Computer vision,Deblurring,Segmentation,Gaussian blur,Regularization (mathematics),Artificial intelligence,Image restoration,Thresholding,Mathematics | Conference |
Volume | ISSN | Citations |
5567 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serena Morigi | 1 | 142 | 20.57 |
| Lothar Reichel | 2 | 453 | 95.02 |
| Fiorella Sgallari | 3 | 217 | 22.22 |