rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Image Processing for Computer Graphics and Vision
  name:
    name part: Velho, Luiz.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Frery, Alejandro.
    role:
      role term: author.
  name:
    name part: Gomes, Jonas.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2009
    edition: Second Edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 463 p. With 12 page colour insert. online resource.
  abstract: 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 textb…
  table of contents: Signal Theory -- Random Processes -- Fundamentals of Color -- Color Systems -- Digital Images -- Operations on Images -- Sampling and Reconstruction -- Multiscale Analysis and Wavelets -- Probabilistic Image Models -- Color Quantization -- Digital Halftoning -- Image Compression -- Combining Images -- Warping and Morphing -- Image Systems.
  note: by Luiz Velho, Alejandro Frery, Jonas Gomes.
  subject:
    topic: Computer science
  subject:
    topic: Computer graphics
  subject:
    topic: Image processing
  subject:
    topic: Computer mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Computer Graphics
  subject:
    topic: Computational Mathematics and Numerical Analysis
  classification: TA1637-1638
  classification: TA1634
  classification: 006.6
  classification: 006.37
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Texts in Computer Science
  identifier: 9781848001930
  identifier: http://dx.doi.org/10.1007/978-1-84800-193-0
  record info:
    record creation date: 100607
    record change date: 20151204161916.0
    record identifier: 978-1-84800-193-0