Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach

Author

Vese, Luminita A. ; Osher, Stanley J.

Author_Institution

Dept. of Math., California Univ., Los Angeles, CA

fYear

2006

fDate

26-29 Sept. 2006

Firstpage

103

Lastpage

110

Abstract

This paper is devoted to a new variational model for color texture modeling and color image decomposition into cartoon and texture. A given image 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

Keywords

image colour analysis; image denoising; image segmentation; image texture; partial differential equations; variational techniques; RGB space; bounded variation; cartoon part; color image decomposition; color image denoising; color texture discrimination; color texture modeling; color texture segmentation; oscillatory functions; texture part; variational-PDE approach; vector-valued functions; Additive noise; Colored noise; Image color analysis; Image restoration; Image segmentation; Image texture analysis; Layout; Mathematical model; Mathematics; Noise reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Symbolic and Numeric Algorithms for Scientific Computing, 2006. SYNASC '06. Eighth International Symposium on

Conference_Location

Timisoara

Print_ISBN

0-7695-2740-X

Type

conf

DOI

10.1109/SYNASC.2006.24

Filename

4090305