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RECURSIVE BLOCK CODING FOR IMAGE DATA COMPRESSION

RECURSIVE BLOCK CODING FOR IMAGE DATA COMPRESSION

RECURSIVE BLOCK CODING FOR IMAGE DATA COMPRESSION
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RECURSIVE BLOCK CODING FOR IMAGE DATA COMPRESSION Hardback - 1990 - 1st Edition

by FARRELLE,

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Springer, 1990. 1st. Hardcover. New/New.
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Details

  • Title RECURSIVE BLOCK CODING FOR IMAGE DATA COMPRESSION
  • Author FARRELLE,
  • Binding Hardback
  • Edition number 1st
  • Edition 1st
  • Condition New
  • Pages 297
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1990
  • Bookseller's Inventory # AME_9780387972350
  • ISBN 9780387972350 / 0387972358
  • Category Computers - Other Applications
  • Library of Congress subjects Coding theory, Image processing - Mathematics
  • Library of Congress Catalogue Number 90-30261
  • Dewey Decimal Code 006.37
  • Quantity available 1

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Reader reviews for RECURSIVE BLOCK CODING FOR IMAGE DATA COMPRESSION

From the publisher

Recursive Block Coding, a new image data compression technique that has its roots in noncausal models for 1d and 2d signals, is the subject of this book. The underlying theory provides a multitude of compression algorithms that encompass two course coding, quad tree coding, hybrid coding and so on. Since the noncausal models provide a fundamentally different image representation, they lead to new approaches to many existing algorithms, including useful approaches for asymmetric, progressive, and adaptive coding techniques. On the theoretical front, the basic result shows that a random field (an ensemble of images) can be coded block by block such that the interblock redundancy can be completely removed while the individual blocks are transform coded. On the practical side, the artifact of tiling, a block boundary effect, present in conventional block by block transform coding techniques has been greatly suppressed. This book contains not only a theoretical discussion of the algorithms but also exhaustive simulation and suggested methodologies for ensemble design techniques. Each of the resulting algorithms has been applied to twelve images over a wide range of image data rates and the results are reported using subjective descriptions, photographs, mathematical MSE values, and h-plots, a recently proposed graphical representation showing a high level of agreement with image quality as judged subjectively.
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