GC-PPXA-QUANTIZER

Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 13/02/12
  • Minor correction: 11/05/12
Keywords

GC-PPXA-QUANTIZER : vector quantization using a spatial regularization (C/C++ toolbox)

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System: UNIX-like, Windows, MacOS X
  • Current version: v2.0 - 05/2012
  • License(s): LGPL
  • Status: stable release
  • Support: maintained, no ongoing development
  • Designer(s): Anna Jezierska
  • Contact designer(s): anna.jezierska@univ-paris-est.fr
  • Laboratory, service: LIGM

 

General software features

This toolbox implemented in C/C++ allows to perform vector quantization.

It is based on Graph Cuts (GC) and Parallel Proximal Algorithm (PPXA).

Context in which the software is used

Quantization of grayscale and color images.

Publications related to the software
  • Caroline Chaux, Anna Jezierska, Jean-Christophe Pesquet and Hugues Talbot
    A spatial regularization approach for vector quantization,
    Journal of Mathematical Imaging and Vision,
    vol 41, pages 23-38, 2011.
    http://www.springerlink.com/content/q40173475471h736/
  • Anna Jezierska, Caroline Chaux, Hugues Talbot and Jean-Christophe Pesquet
    Image quantization under spatial smoothness constraints,
    International Conference on Image Processing (ICIP),
    Honk Kong, 26-29 September 2010.
  • http://www-syscom.univ-mlv.fr/~jeziersk/publicatio...