Variational methods in imaging

Author(s)

    • Scherzer, Otmar
    • Grasmair, Markus
    • Grossauer, Harald
    • Haltmeier, Markus
    • Antman, S. S.
    • Sirovich, L.
    • Lenzen, Frank

Bibliographic Information

Variational methods in imaging

Otmar Scherzer ... [et al.] ; S.S. Antman, J.E. Marsden, L. Sirovich [editors]

(Applied mathematical sciences, 167)

Springer, c2009

Available at  / 26 libraries

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Note

Other author: Markus Grasmair, Harald Grossauer, Markus Haltmeier, Frank Lenzen

Includes bibliographical references (p. 287-307) and index

Description and Table of Contents

Description

This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.

Table of Contents

Fundamentals of Imaging.- Case Examples of Imaging.- Image and Noise Models.- Regularization.- Variational Regularization Methods for the Solution of Inverse Problems.- Convex Regularization Methods for Denoising.- Variational Calculus for Non-convex Regularization.- Semi-group Theory and Scale Spaces.- Inverse Scale Spaces.- Mathematical Foundations.- Functional Analysis.- Weakly Differentiable Functions.- Convex Analysis and Calculus of Variations.

by "Nielsen BookData"

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Details

  • NCID
    BA87807880
  • ISBN
    • 9780387309316
  • LCCN
    2008934867
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York
  • Pages/Volumes
    xiii, 320 p.
  • Size
    25 cm
  • Parent Bibliography ID
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