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A full second order variational model for multiscale texture analysis

Author

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  • Maïtine Bergounioux
  • Loïc Piffet

Abstract

We present a second order image decomposition model to perform denoising and texture extraction. We look for the decomposition f=u+v+w where u is a first order term, v a second order term and w the (0 order) remainder term. For highly textured images the model gives a two-scale texture decomposition: u can be viewed as a macro-texture (larger scale) whose oscillations are not too large and w is the micro-texture (very oscillating) that may contain noise. We perform mathematical analysis of the model and give numerical examples. Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Maïtine Bergounioux & Loïc Piffet, 2013. "A full second order variational model for multiscale texture analysis," Computational Optimization and Applications, Springer, vol. 54(2), pages 215-237, March.
  • Handle: RePEc:spr:coopap:v:54:y:2013:i:2:p:215-237
    DOI: 10.1007/s10589-012-9484-9
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    Cited by:

    1. M. Bergounioux, 2016. "Mathematical Analysis of a Inf-Convolution Model for Image Processing," Journal of Optimization Theory and Applications, Springer, vol. 168(1), pages 1-21, January.

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