Dictionary-based compression is a method of data compression that replaces substrings in the data with references to a dictionary containing those substrings, effectively reducing redundancy. This technique is widely used in various compression algorithms due to its ability to efficiently handle repetitive data patterns, making it ideal for text and binary data compression.

Dictionary-Based Compression

Dictionary-based compression

Data compression is the process of reducing the size of a data file or stream to save storage space or transmission time while maintaining the essential information. It involves encoding information using fewer bits than the original representation, often leveraging patterns and redundancies in the data.

data compression

substrings in the data

references to a dictionary

Reducing redundancy in systems and processes enhances efficiency by eliminating unnecessary duplication of resources, efforts, or information. This streamlining leads to improved performance, cost savings, and clearer communication within organizations.

reducing redundancy

Compression algorithms reduce the size of data files by eliminating redundancies, making data storage and transmission more efficient. They are categorized into lossless and lossy types, ensuring either perfect data reconstruction or acceptable quality loss for significant size reduction.

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