loading...
Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach
Timisoara, Romania September 26-September 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.24Eighth International Symposium on Sym ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
Usage of this product signifies your acceptance of the Terms of Use.