Title :
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
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;
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
DOI :
10.1109/SYNASC.2006.24