Title
Projected Gradient Based Color Image Decomposition
Abstract
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
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 Duval12118.50
Jean-François Aujol2117682.39
Luminita A. Vese35389302.64