Name
Abstract | ||
|---|---|---|
This paper is devoted to a new variational model for color texture modeling and color image decomposition into cartoon and texture. A given imagef in the RGB space is decomposed into a cartoon part and a texture part. The cartoon part is modeled by the space of vector-valued functions of bounded variation, while the texture or noise part is modeled by a space of oscillatory functions, dual in some sense of the BV space. Examples for color image decomposition, color image denoising, and color texture discrimination and segmentation will be presented. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/SYNASC.2006.24 | Timisoara |
Keywords | Field | DocType |
color texture modeling,bv space,texture part,noise part,color image decomposition,variational-pde approach,color texture discrimination,color image denoising,rgb space,bounded variation,cartoon part,partial differential equations,color image,image segmentation,value function,image texture | Computer vision,Texture compression,Color histogram,Pattern recognition,Image texture,Computer science,Demosaicing,Color balance,RGB color model,Artificial intelligence,Texture filtering,Color image | Conference |
ISBN | Citations | PageRank |
0-7695-2740-X | 11 | 0.62 |
References | Authors | |
25 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luminita A. Vese | 1 | 5389 | 302.64 |
| Stanley Osher | 2 | 7973 | 514.62 |