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Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06)
Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach
Timisoara, Romania
September 26-September 29
ISBN: 0-7695-2740-X
Luminita A. Vese, University of California, Los Angeles, USA
Stanley J. Osher, University of California, Los Angeles, USA
This paper is devoted to a new variational model for color texture modeling and color image decomposition into cartoon and texture. A given image f 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.
Citation:
Luminita A. Vese, Stanley J. Osher, "Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach," synasc, pp.103-110, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006
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