Multidimensional Processing of Video Signals

  • Giovanni L. Sicuranza
  • Sanjit K. Mitra

Table of contents

  1. Front Matter
    Pages i-iv
  2. Giovanni L. Sicuranza, Sanjit K. Mitra
    Pages 3-4
  3. Petri Haavisto, Yrjö Neuvo, Janne Juhola
    Pages 5-22
  4. G. Cortelazzo, G. A. Mian, R. Rinaldo
    Pages 23-52
  5. Martin Vetterli, Kamil Metin Uzf
    Pages 53-79
  6. Rachel Alter-Gartenberg, Carl L. Fales, Friedrich O. Huck, Zia-Ur Rahman, Stephen E. Reichenbach
    Pages 81-102
  7. Chi-Fa Chen, K. K. Pang
    Pages 133-158
  8. Back Matter
    Pages 189-189

About this book


A color time-varying image can be described as a three-dimensional vector (representing the colors in an appropriate color space) defined on a three-dimensional spatiotemporal space. In conventional analog television a one-dimensional signal suitable for transmission over a communication channel is obtained by sampling the scene in the vertical and tem­ poral directions and by frequency-multiplexing the luminance and chrominance informa­ tion. In digital processing and transmission systems, sampling is applied in the horizontal direction, too, on a signal which has been already scanned in the vertical and temporal directions or directly in three dimensions when using some solid-state sensor. As a conse­ quence, in recent years it has been considered quite natural to assess the potential advan­ tages arising from an entire multidimensional approach to the processing of video signals. As a simple but significant example, a composite color video signal, such as the conven­ tional PAL or NTSC signal, possesses a three-dimensional spectrum which, by using suitable three-dimensional filters, permits horizontal sampling at a rate which is less than that re­ quired for correctly sampling the equivalent one-dimensional signal. More recently it has been widely recognized that the improvement of the picture quality in current and advanced television systems requires well-chosen signal processing algorithms which are multidimen­ sional in nature within the demanding constraints of a real-time implementation.


Signal algorithms coding filtering filters information multimedia signal processing

Editors and affiliations

  • Giovanni L. Sicuranza
    • 1
  • Sanjit K. Mitra
    • 2
  1. 1.Universita Degli Studi di TriesteItaly
  2. 2.University of CalifoniaSanta BarbaraUSA

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1992
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6607-2
  • Online ISBN 978-1-4615-3616-1
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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