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

Authors:
Luminita A. Vese;Stanley J. Osher
Affiliations:
University of California, Los Angeles, USA;University of California, Los Angeles, USA
Venue:
SYNASC '06 Proceedings of the Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Year:
2006

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Abstract

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