Mathematical Problems in Image Processing

Partial Differential Equations and the Calculus of Variations

  • Gilles Aubert
  • Pierre Kornprobst

Part of the Applied Mathematical Sciences book series (AMS, volume 147)

Table of contents

  1. Front Matter
    Pages i-xxxi
  2. Pages 1-27
  3. Pages 65-147
  4. Pages 149-211
  5. Back Matter
    Pages 307-379

About this book

Introduction

Partial differential equations (PDEs) and variational methods were introduced into image processing about fifteen years ago. Since then, intensive research has been carried out. The goals of this book are to present a variety of image analysis applications, the precise mathematics involved and how to discretize them. Thus, this book is intended for two audiences. The first is the mathematical community by showing the contribution of mathematics to this domain. It is also the occasion to highlight some unsolved theoretical questions. The second is the computer vision community by presenting a clear, self-contained and global overview of the mathematics involved in image processing problems. This work will serve as a useful source of reference and inspiration for fellow researchers in Applied Mathematics and Computer Vision, as well as being a basis for advanced courses within these fields.

During the four years since the publication of the first edition, there has been substantial progress in the range of image processing applications covered by the PDE framework. The main goals of the second edition are to update the first edition by giving a coherent account of some of the recent challenging applications, and to update the existing material. In addition, this book provides the reader with the opportunity to make his own simulations with a minimal effort. To this end, programming tools are made available, which will allow the reader to implement and test easily some classical approaches.

Reviews of the earlier edition:

"Mathematical Problems in Image Processing is a major, elegant, and unique contribution to the applied mathematics literature, oriented toward applications in image processing and computer vision.... Researchers and practitioners working in the field will benefit by adding this book to their personal collection. Students and instructors will benefit by using this book as a graduate course textbook."

-- SIAM Review

"The Mathematician -- and he doesn't need to be a 'die-hard' applied mathematician -- will love it because there are all these spectacular applications of nontrivial mathematical techniques and he can even find some open theoretical questions. The numerical analyst will discover many challenging problems and implementations. The image processor will be an eager reader because the book provides all the mathematical elements, including most of the proofs.... Both content and typography are a delight. I can recommend the book warmly for theoretical and applied researchers."

-- Bulletin of the Belgian Mathematics

Keywords

Calculus of Variations PDE PDEs in image processing Partial Differential Equations Symbol image analysis image processing programming simulation tools variational methods in image processing

Authors and affiliations

  • Gilles Aubert
    • 1
  • Pierre Kornprobst
    • 2
  1. 1.Laboratoire J.A. Dieudonné Parc ValroseUniversité de Nice Sophia-Antipolis CNRS UMR 6621Nice Cx 2France
  2. 2.Projet OdysséeINRIASophia AntipolisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-44588-5
  • Copyright Information Springer Science+Business Media, LLC 2006
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-32200-1
  • Online ISBN 978-0-387-44588-5
  • Series Print ISSN 0066-5452
  • About this book