Variational methods in imaging

著者

書誌事項

Variational methods in imaging

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

(Applied mathematical sciences, 167)

Springer, c2010

  • : [pbk.]

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注記

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

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

Differs from in publication year

内容説明・目次

内容説明

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.

目次

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.

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詳細情報

  • NII書誌ID(NCID)
    BB06180096
  • ISBN
    • 9781441921666
  • LCCN
    2008934867
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    New York
  • ページ数/冊数
    xiii, 320 p.
  • 大きさ
    24 cm
  • 親書誌ID
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