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Txt and Tif File Compression Using Lzw, Huffman, and Arithmetic Coding

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Publicado en:Pomorski Zbornik (2024), p. 213
Autor principal: Klen, Deni
Otros Autores: Lerga, Jonatan, Petrijevčanin, Irena
Publicado:
Croatian Association of Maritime Science and Transport
Materias:
Huffman codes
Image coding
Data integrity
Dictionaries
Image compression
Datasets
Data compression
Compression
Arithmetic coding
Algorithms
Libraries
Compression ratio
Acceso en línea:Citation/Abstract
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Resumen:The paper compares compression methods such as Lempel-Ziv-Welch (LZW), Huffman, and arithmetic coding applied to different large text and image datasets. Comparison is done based on metrics such as execution time and compression ratio. LZW produced results of about 30 % median compression ratio for all text records and a median of about 70 % for image records. In addition, Huffman coding produced a compression rate of about 40 % median for text data and a median of about 55 % for image data. Finally, arithmetic coding yielded results of about 70 % median for text compression and about 55 % median for image data compression. The time required was lowest for LZW, followed by Huffman, and worst for arithmetic coding.
ISSN:0554-6397
1848-9052
Fuente:Engineering Database