Title
Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm
Abstract
In this paper, we are interested in texture modeling with functional analysis spaces. We focus on the case of color image processing, and in particular color image decomposition. The problem of image decomposition consists in splitting an original image f into two components u and v. u should contain the geometric information of the original image, while v should be made of the oscillating patterns of f, such as textures. We propose here a scheme based on a projected gradient algorithm to compute the solution of various decomposition models for color images or vector-valued images. We provide a direct convergence proof of the scheme, and we give some analysis on color texture modeling.
Year
DOI
Venue
2010
10.1007/s10851-010-0203-9
Journal of Mathematical Imaging and Vision
Keywords
Field
DocType
Texture modeling,Color image decomposition,Projected gradient algorithm,Color texture modeling
Computer vision,Image gradient,Color histogram,Image texture,Computer science,Binary image,Algorithm,Demosaicing,Color balance,Artificial intelligence,Color quantization,Color image
Journal
Volume
Issue
ISSN
37
3
0924-9907
Citations 
PageRank 
References 
17
0.76
43
Authors
3
Name
Order
Citations
PageRank
Vincent Duval12118.50
Jean-François Aujol2117682.39
Luminita A. Vese35389302.64