Abstract
Huffman coding is known to be optimal, yet its dynamic version may yield smaller compressed files. The best known bound is that the number of bits used by dynamic Huffman coding in order to encode a message of n characters is at most larger by n bits than the number of bits required by static Huffman coding. In particular, dynamic Huffman coding can also generate a larger encoded file than the static variant, though in practice the file might often, but not always, be smaller. We propose here a new dynamic Huffman encoding approach, that provably always performs at least as good as static Huffman coding, and may be better than the standard dynamic Huffman coding for certain files.
Original language | English |
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Title of host publication | Proceedings - DCC 2019 |
Subtitle of host publication | 2019 Data Compression Conference |
Editors | James A. Storer, Joan Serra-Sagrista, Michael W. Marcellin, Ali Bilgin |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 582 |
Number of pages | 1 |
ISBN (Electronic) | 9781728106571 |
DOIs | |
State | Published - 10 May 2019 |
Event | 2019 Data Compression Conference, DCC 2019 - Snowbird, United States Duration: 26 Mar 2019 → 29 Mar 2019 |
Publication series
Name | Data Compression Conference Proceedings |
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Volume | 2019-March |
ISSN (Print) | 1068-0314 |
Conference
Conference | 2019 Data Compression Conference, DCC 2019 |
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Country/Territory | United States |
City | Snowbird |
Period | 26/03/19 → 29/03/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Adaptive Compression
- Huffman Coding