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## Details

Genre/Form: | Electronic books |
---|---|

Additional Physical Format: | Print version: Aubert, Gilles. Mathematical problems in image processing. New York : Springer, ©2006 (DLC) 2006926450 (OCoLC)70962270 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Gilles Aubert; Pierre Kornprobst |

ISBN: | 9780387322001 0387322000 0387217665 9780387217666 9780387445885 0387445889 |

OCLC Number: | 122544520 |

Description: | 1 online resource (xxxi, 377 pages) : illustrations. |

Contents: | Foreword -- Preface to the Second Edition -- Preface -- Guide to the Main Mathematical Concepts and their Application -- Notation and Symbols -- Introduction -- Mathematical Preliminaries -- Image Restoration -- The Segmentation Problem -- Other Challenging Applications -- A Introduction to Finite Difference Methods -- B Experiment Yourself!- References -- Index. |

Series Title: | Applied mathematical sciences (Springer-Verlag New York Inc.), v. 147. |

Responsibility: | Gilles Aubert, Pierre Kornprobst. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

From the reviews: (Selected by the author): "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." Luminita Vese University of California at Los Angeles (Selected by the author): "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." Adhemar Bultheel MATHEMATICAL REVIEWS "The authors have substantially contributed to many aspects of the subject...The level of the book is advanced, and the exposition very clear, developed in depth, and to some extent self-contained. The proofs of the main theorems are usually given in detail; when necessary there is also a precise reference to the ample literature on the specific topic. This book will certainly interest both mathematicians (some interesting, still open theoretical questions there are highlighted) and researchers in computer vision...The books substantial and up-to-date body for reference is a detailed guide to the literature on the many aspects of image processing." G. Aubert and P. Kornprobst Mathematical Problems in Image Processing Partial Differential Equations and the Calculus of Variations "This book is devoted to a detailed presentation of several aspects of mathematical problems in image processing ... The authors have substantially contributed to many aspects of their subject ... The level of the book is advanced, and the to some extent self-contained ... This book will certainly interest both mathematicians (some interesting, still open theoretical questions here are highlighted) and researchers in computer vision."-MATHEMATICAL REVIEWS From the reviews of the second edition: "The book is devoted to the mathematical treatment of several problems in image processing, with particular attention to the methods involving partial differential equations and variational analysis ... . This second edition has the same goals, and the spirit in which the volume is written will again let it be a reference for both the mathematical and the computer vision communities. Besides the natural updating of the existing chapters, this second edition presents some new material ... ." (Giuseppe Buttazzo, Zentralblatt MATH, Vol. 1110 (12), 2007) Read more...

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