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Computational Imaging and Vision

Natural Image Statistics

A Probabilistic Approach to Early Computational Vision.

Authors: Hyvärinen, Aapo, Hurri, Jarmo, Hoyer, Patrick O.

  • Is the very first book on this topic
  • Is accessible to a wide audience from different disciplines
  • Topic is very timely and of increasing importance
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eBook $109.00
price for USA
  • ISBN 978-1-84882-491-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $139.00
price for USA
  • ISBN 978-1-84882-490-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-84996-844-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

One of the most successful frameworks in computational neuroscience is modelling visual processing using the statistical structure of natural images. In this framework, the visual system of the brain constructs a model of the statistical regularities of the incoming visual data. This enables the visual system to perform efficient probabilistic inference. The same framework is also very useful in engineering applications such as image processing and computer vision.

This book is the first comprehensive introduction to the multidisciplinary field of natural image statistics and its intention is to present a general theory of early vision and image processing in a manner that can be approached by readers from a variety of scientific backgrounds. A wealth of relevant background material is presented in the first section as an introduction to the subject. Following this are five unique sections, carefully selected so as to give a clear overview of all the basic theory, as well as the most recent developments and research. This structure, together with the included exercises and computer assignments, also make it an excellent textbook.

Natural Image Statistics is a timely and valuable resource for advanced students and researchers in any discipline related to vision, such as neuroscience, computer science, psychology, electrical engineering, cognitive science or statistics.

Reviews

From the reviews:

“The authors did a wonderful job of introducing the field of natural image statistics, comprehensively. The book provides the underlying fundamental mathematics … accessible to a wide audience. … provides exercises and computer assignments at the end of the chapters. … the advanced topics are treated in a similar manner to basic theory, makes the book suitable to be used as a textbook for advanced students and by researchers in any discipline related to computer vision.” (Michael Goldberg and R. Goldberg, ACM Computing Reviews, October, 2010)

Table of contents (21 chapters)

  • Introduction

    Hyvärinen, Aapo (et al.)

    Pages 1-21

  • Linear Filters and Frequency Analysis

    Hyvärinen, Aapo (et al.)

    Pages 25-49

  • Outline of the Visual System

    Hyvärinen, Aapo (et al.)

    Pages 51-66

  • Multivariate Probability and Statistics

    Hyvärinen, Aapo (et al.)

    Pages 67-90

  • Principal Components and Whitening

    Hyvärinen, Aapo (et al.)

    Pages 93-130

Buy this book

eBook $109.00
price for USA
  • ISBN 978-1-84882-491-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $139.00
price for USA
  • ISBN 978-1-84882-490-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-84996-844-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Natural Image Statistics
Book Subtitle
A Probabilistic Approach to Early Computational Vision.
Authors
Series Title
Computational Imaging and Vision
Series Volume
39
Copyright
2009
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84882-491-1
DOI
10.1007/978-1-84882-491-1
Hardcover ISBN
978-1-84882-490-4
Softcover ISBN
978-1-84996-844-7
Series ISSN
1381-6446
Edition Number
1
Number of Pages
XIX, 448
Topics