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Image data compression

M A Goldberg1

  • 1World-Care Inc, Cambridge, MA 02142, USA.

Journal of Digital Imaging
|August 1, 1997
PubMed
Summary
This summary is machine-generated.

This tutorial explores data compression techniques, their practical uses, and selection criteria. Ongoing research aims to enhance compression efficiency through new algorithms.

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Area of Science:

  • Computer Science
  • Information Theory

Background:

  • Data compression is crucial for efficient storage and transmission.
  • Various compression techniques exist, each with trade-offs.

Purpose of the Study:

  • To provide a comprehensive overview of data compression.
  • To discuss practical considerations for selecting compression schemes.
  • To highlight ongoing research in compression algorithms.

Main Methods:

  • Review of existing data compression techniques.
  • Discussion of practical application scenarios.
  • Exploration of factors influencing scheme selection.

Main Results:

  • Understanding of diverse compression methods and their implications.

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  • Knowledge of criteria for choosing appropriate compression schemes.
  • Awareness of the evolving landscape of compression algorithm development.

    • Conclusions:

    • Data compression is a dynamic field with continuous advancements.
    • Informed selection of compression schemes is vital for practical applications.
    • Future research will yield improved compression ratios and efficiency.