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Journal of Mathematical Imaging and Vision

, Volume 27, Issue 2, pp 193–200 | Cite as

Image Compression Through a Projection onto a Polyhedral Set

  • F. Malgouyres
Article

Abstract

In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization). However, despite the well-known links between image denoising and image compression when solved with wavelet-like approaches, these hybrid image denoising methods have not found counterparts in image compression. This is the gap that this paper aims at filling. To do so, we provide a generalization of the standard image compression model. However, important numerical limitations still need to be addressed in order to make such models practical.

Keywords

Image Compression Image Denoising Active Constraint Compression Model Total Variation Regularization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science + Business Media, LLC 2007

Authors and Affiliations

  • F. Malgouyres
    • 1
  1. 1.LAGA/L2TI, Université Paris 13VilletaneuseFrance

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