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Subband Image Coding

  • Book
  • © 1991

Overview

Editors:
  1. John W. Woods

    1. ECSE Department, Rensselaer Polytechnic Institute, Troy, USA

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 115)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xii
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  2. Performance Bounds for Subband Coding

    • William A. Pearlman
    Pages 1-41

  3. Multirate Filter Banks for Subband Coding

    • Martin Vetterli
    Pages 43-100

  4. IIR Analysis/Synthesis Systems

    • Mark J. T. Smith
    Pages 101-141

  5. Subband Transforms

    • Eero P. Simoncelli, Edward H. Adelson
    Pages 143-192

  6. Subband Coding of Color Images

    • Peter H. Westerink, Jan Biemond, Dick E. Boekee
    Pages 193-227

  7. Subband Coding of Video Signals

    • Hamid Gharavi
    Pages 229-272

  8. Advanced Television Coding Using Exact Reconstruction Filter Banks

    • Rashid Ansari, Didier Le Gall
    Pages 273-318

  9. Medical Image Compression: Possible Applications of Subband Coding

    • Otto Rompelman
    Pages 319-352

  10. Back Matter

    Pages 353-356
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About this book

This book concerns a new method of image data compression which weil may supplant the well-established block-transfonn methods that have been state-of-the­ art for the last 15 years. Subband image coding or SBC was first perfonned as such in 1985, and as the results became known at first through conference proceedings, and later through journal papers, the research community became excited about both the theoretical and practical aspects of this new approach. This excitement is continuing today, with many major research laboratories and research universities around the world investigating the subband approach to coding of color images, high resolution images, video- including video conferencing and advanced tele­ vision, and the medical application of picture archiving systems. Much of the fruits of this work is summarized in the eight chapters of this book which were written by leading practitioners in this field. The subband approach to image coding starts by passing the image through a two- or three-dimensional filter bank. The two-dimensional (2-D) case usually is hierarchical' consisting of two stages of four filters each. Thus the original image is split into 16 subband images, with each one decimated or subsampled by 4x4, resulting in a data conservation. The individual channel data is then quantized ·for digital transmission. In an attractive variation an octave-like approach, herein tenned subband pyramid, is taken for the decomposition resulting in a total of just eleven subbands.

Editors and Affiliations

  • ECSE Department, Rensselaer Polytechnic Institute, Troy, USA

    John W. Woods

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