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Mathematical Image Processing

University of Orléans, France, March 29th - April 1st, 2010

  • Maïtine Bergounioux

Part of the Springer Proceedings in Mathematics book series (PROM, volume 5)

Table of contents

  1. Front Matter
    Pages i-x
  2. Stéphane Jaffard, Patrice Abry, Stéphane Roux
    Pages 1-39
  3. Maïtine Bergounioux, Minh Phuong Tran
    Pages 41-57
  4. Hermine Biermé, Frédéric J. P. Richard
    Pages 59-73
  5. Ugo Boscain, Jean Duplaix, Jean-Paul Gauthier, Francesco Rossi
    Pages 75-90
  6. Sloven Dubois, Renaud Péteri, Michel Ménard
    Pages 107-126
  7. Florian Frühauf, Carsten Pontow, Otmar Scherzer
    Pages 127-140
  8. Émilien Tlapale, Pierre Kornprobst, Guillaume S. Masson, Olivier Faugeras
    Pages 159-179

About these proceedings

Introduction

The contributions appearing in this volume are a snapshot of the different topics that were discussed during the conference. They mainly concern, image reconstruction, texture extraction and image classification and involve a variety of different methods and applications. Therefore it was impossible to split the papers into generic groups which is why they are presented in alphabetic order. However they mainly concern : texture analysis (5 papers) with different techniques (variational analysis, wavelet and morphological component analysis, fractional Brownian fields), geometrical methods (2 papers ) for restoration and invariant feature detection, classification (with multifractal analysis), neurosciences imaging and analysis of Multi-Valued Images.

Keywords

Image processing Image processing (compression, reconstruction) Optimization and variational techniques Wavelets and other special systems

Editors and affiliations

  • Maïtine Bergounioux
    • 1
  1. 1., UMR 6628-MAPMOUniversité d'OrléansOrléans Cedex 2France

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19604-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-19603-4
  • Online ISBN 978-3-642-19604-1
  • Series Print ISSN 2190-5614
  • Series Online ISSN 2190-5622
  • Buy this book on publisher's site