Abstract | ||
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This work deals with color image processing, with a focus on color image decomposition. The problem of image decomposition consists in splitting an original image f into two components u and v = f *** u . u contains the geometric information of the original image, while v is made of the oscillating patterns of f , such as textures. We propose a numerical scheme based on a projected gradient algorithm to compute the solution of various decomposition models for color images or vector-valued images. A direct convergence proof of the scheme is provided, and some analysis on color texture modeling is given. |
Year | DOI | Venue |
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2009 | 10.1007/978-3-642-02256-2_25 | SSVM |
Keywords | Field | DocType |
color image processing,color image decomposition,color image,components u,projected gradient,color texture modeling,vector-valued image,numerical scheme,image decomposition,various decomposition model,original image,oscillations | Computer vision,Image gradient,Color histogram,Image texture,Binary image,Color balance,RGB color model,Artificial intelligence,Color quantization,Mathematics,Color image | Conference |
Volume | ISSN | Citations |
5567 | 0302-9743 | 13 |
PageRank | References | Authors |
0.90 | 20 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vincent Duval | 1 | 211 | 8.50 |
Jean-François Aujol | 2 | 1176 | 82.39 |
Luminita A. Vese | 3 | 5389 | 302.64 |