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Lossless Compression Algorithms

Definition

Lossless compression algorithms are methods used to compress data files without losing any information. The compressed file can be fully restored to its original form without any loss of data.

Related terms

Run-Length Encoding (RLE): It is a simple lossless compression algorithm that replaces consecutive repeated characters or symbols with a count and the character itself.

Lempel-Ziv-Welch (LZW) Compression: It is a popular lossless compression algorithm used in file formats such as GIF and TIFF, which builds a dictionary of frequently occurring patterns and replaces them with shorter codes.

Burrows-Wheeler Transform (BWT): It is another lossless compression technique that rearranges the characters in a string to improve compressibility by exploiting similarities between adjacent characters.

"Lossless Compression Algorithms" appears in:

Study guides (1)

  • AP Computer Science Principles - Big Idea 2 Overview: Data

Practice Questions (3)

  • Lossless compression algorithms are best suited for which of the following scenarios?

  • Lossless compression algorithms are particularly important in scenarios where....

  • What is the main concern addressed by lossless compression algorithms?

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About Us

About Fiveable

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CCPA Privacy Policy

Resources

Cram Mode

AP Score Calculators

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Glossary

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Help Center

© 2024 Fiveable Inc. All rights reserved.

AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.