Name
Abstract | ||
|---|---|---|
Meyer has recently introduced an image decomposition model to split an image into two components: a geometrical component and a texture (oscillatory) component. Inspired by his work, numerical models have been developed to carry out the decomposition of gray scale images. In this paper, we propose a decomposition algorithm for color images. We introduce a generalization of Meyer’s G norm to RGB vectorial color images, and use Chromaticity and Brightness color model with total variation minimization. We illustrate our approach with numerical examples. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.jvcir.2005.02.001 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Total variation,Structure,Texture,Color,Image decomposition,Image restoration | Computer vision,Image gradient,Pattern recognition,Color histogram,Demosaicing,Color balance,Color model,Artificial intelligence,RGB color model,Mathematics,Color quantization,Color image | Journal |
Volume | Issue | ISSN |
17 | 4 | 1047-3203 |
Citations | PageRank | References |
29 | 1.52 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-François Aujol | 1 | 1176 | 82.39 |
| Sung Ha Kang | 2 | 430 | 29.39 |