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Image Processing for Computer Graphics and Vision

  • Luiz Velho
  • Alejandro Frery
  • Jonas Gomes

Part of the Texts in Computer Science book series (TCS)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 1-11
  3. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 13-55
  4. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 57-73
  5. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 75-101
  6. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 103-134
  7. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 135-146
  8. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 147-186
  9. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 187-216
  10. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 217-254
  11. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 255-292
  12. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 293-311
  13. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 313-344
  14. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 345-359
  15. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 361-385
  16. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 387-412
  17. Luiz Velho, Alejandro Frery, Jonas Gomes
    Pages 413-437
  18. Back Matter
    Pages 439-471

About this book

Introduction

Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing, with an emphasis on those aspects most used in computer graphics and vision, this fully revised second edition concentrates on describing and analyzing the underlying concepts of this subject.

As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics of signal processing, data discretization, the theory of color and different color systems, operations in images, dithering and half-toning, warping and morphing, and image processing. Significantly expanded and revised, this easy-to-follow text/reference reflects recent trends in science and technology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision.

Features:

• Includes 5 new chapters and major changes throughout

• Adopts a conceptual approach with emphasis on the mathematical concepts and their applications

•Introduces an abstraction paradigm that relates mathematical models with image processing techniques and implementation methods - used throughout to help understanding of the mathematical theory and its practical use

• Motivates through an elementary presentation, opting for an intuitive description where needed

• Contains adopted innovative formulations whenever necessary for clarity of exposition

• Provides numerous examples and illustrations, as an aid to understanding

• Focuses on the aspects of image processing that have importance in computer graphics and vision applications

• Offers a comprehensive introductory chapter for instructors

This comprehensive text imparts a good conceptual understanding of the topic, as a basis for further study, and is suitable both as a textbook and a professional reference. The current extended edition is a must-have resource and guide for all studying or interested in this field.

Keywords

Color Computer graphic Computer vision Image compression Image processing Morphing Signal theory computer graphics image analysis signal processing

Authors and affiliations

  • Luiz Velho
    • 1
  • Alejandro Frery
    • 2
  • Jonas Gomes
    • 1
  1. 1.IMPA - Instituto de Matematica Pura e AplicadaRio de JaneiroBrazil
  2. 2.Universidade Federal de AlagoasMaceióBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-193-0
  • Copyright Information Springer-Verlag London 2009
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84800-192-3
  • Online ISBN 978-1-84800-193-0
  • Series Print ISSN 1868-0941
  • Buy this book on publisher's site