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Geometrical Multiresolution Adaptive Transforms

Theory and Applications

  • Agnieszka Lisowska

Part of the Studies in Computational Intelligence book series (SCI, volume 545)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Agnieszka Lisowska
    Pages 1-12
  3. Multismoothlet Transform

    1. Front Matter
      Pages 13-13
    2. Agnieszka Lisowska
      Pages 15-26
    3. Agnieszka Lisowska
      Pages 27-38
    4. Agnieszka Lisowska
      Pages 39-50
  4. Applications

    1. Front Matter
      Pages 51-51
    2. Agnieszka Lisowska
      Pages 53-66
    3. Agnieszka Lisowska
      Pages 67-82
    4. Agnieszka Lisowska
      Pages 83-95
    5. Agnieszka Lisowska
      Pages 97-100
  5. Back Matter
    Pages 101-107

About this book

Introduction

Modern image processing techniques are based on multiresolution geometrical methods of image representation. These methods are efficient in sparse approximation of digital images. There is a wide family of functions called simply ‘X-lets’, and these methods can be divided into two groups: the adaptive and the nonadaptive. This book is devoted to the adaptive methods of image approximation, especially to multismoothlets.

Besides multismoothlets, several other new ideas are also covered. Current literature considers the black and white images with smooth horizon function as the model for sparse approximation but here, the class of blurred multihorizon is introduced, which is then used in the approximation of images with multiedges. Additionally, the semi-anisotropic model of multiedge representation, the introduction of the shift invariant multismoothlet transform and sliding multismoothlets are also covered.

Geometrical Multiresolution Adaptive Transforms should be accessible to both mathematicians and computer scientists. It is suitable as a professional reference for students, researchers and engineers, containing many open problems and will be an excellent starting point for those who are beginning new research in the area or who want to use geometrical multiresolution adaptive methods in image processing, analysis or compression.

Keywords

Edge Detection Geometrical Methods Image Compression Image Denoising Multiresolution Multismoothlets Smoothlets Sparse Representation Wedgelets

Authors and affiliations

  • Agnieszka Lisowska
    • 1
  1. 1.University of Silesia Institute of Computer ScienceKatowicePoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05011-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05010-2
  • Online ISBN 978-3-319-05011-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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