Skip to main content

Lossy On-Line Dynamic Data Compression

  • Conference paper
Sequences

Abstract

We use the term data to mean digital data: data that is represented as a sequence of characters drawn from the input alphabet ∑. Data compression is the process of encoding (“compressing”) a body of data into a smaller body of data. With lossless data compression, it must be possible for the compressed data to be decoded (“decompressed”) back to the original data, whereas with lossy data compression, compressed data need only be decoded back to some acceptable approximation to the original data (where “acceptable” is defined by some fidelity criteria that is provided to the algorithm).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • D. A. Huffman [ 1952 ]. “A Method for the Construction of Minimum-Redundancy Codes”, Proceedings of the IRE 40, 1098–1101.

    Article  Google Scholar 

  • A. Lempel and J. Ziv [ 1976 ]. “On the Complexity of Finite Sequences”, IEEE Transactions on Information Theory 22: 1, 75–81.

    Article  MathSciNet  MATH  Google Scholar 

  • A. Lempel and J. Ziv [ 1985 ]. “Compression of Two-Dimensional Images”, Combinatorial Algorithms on Words, Springer-Verlag (A. Apostolico and Z. Galil, editors ), 141–154.

    Google Scholar 

  • V. S. Miller and M. N. Wegman [ 1985 ]. “Variations on a Theme by Lempel and Ziv”, Combinatorial Algorithms on Words, Springer-Verlag (A. Apostolico and Z. Galil, edi-tors ), 131–140.

    Google Scholar 

  • J. B. Seery and J. Ziv [ 1977 ]. “A Universal Data Compression Algorithm: Description and Prel-iminary Results”, Technical Memorandum 77-1212-6, Bell Laboratories, Murray Hill, N.J.

    Google Scholar 

  • J. B. Seery and J. Ziv [ 1978 ]. “Further Results on Universal Data Compression”, Technical Memorandum 78-1212-8, Bell Laboratories, Murray Hill, N.J.

    Google Scholar 

  • J. A. Storer [ 1988 ]. Data Compression: Methods and Theory, Computer Science Press, Rockville, MD.

    Google Scholar 

  • T. A. Welch [ 1984 ]. “A Technique for High-Performance Data Compression”, IEEE Computer 17: 6, 8–19.

    Google Scholar 

  • J. Ziv [ 1985 ]. “On Universal Quantization”, IEEE Transactions on Information Theory 31: 3, 344–347.

    Article  MathSciNet  MATH  Google Scholar 

  • J. Ziv and A. Lempel [ 1977 ]. “A Universal Algorithm for Sequential Data Compression”, IEEE Transactions on Information Theory 23: 3, 337–343.

    Article  MathSciNet  MATH  Google Scholar 

  • J. Ziv and A. Lempel [ 1978 ]. “Compression of Individual Sequences Via Variable-Rate Coding”, IEEE Transactions on Information Theory 24: 5, 530–536.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag New York Inc.

About this paper

Cite this paper

Storer, J.A. (1990). Lossy On-Line Dynamic Data Compression. In: Capocelli, R.M. (eds) Sequences. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3352-7_27

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-3352-7_27

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7977-8

  • Online ISBN: 978-1-4612-3352-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics