TITLE:
Quantitative Comparative Study of the Performance of Lossless Compression Methods Based on a Text Data Model
AUTHORS:
Namogo Silué, Sié Ouattara, Mouhamadou Dosso, Alain Clément
KEYWORDS:
Arithmetic Coding, BWT, Compression Ratio, Comparative Study, Compression Techniques, Shannon-Fano, Huffman, Lossless Compression, LZW, Performance, Redundancy, RLE, Text Data, Tunstall
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.14 No.7,
July
30,
2024
ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression techniques because their performance is exploited with lossy compression techniques for images and videos generally using a mixed approach. To achieve our intended objective, which is to study the performance of lossless compression methods, we first carried out a literature review, a summary of which enabled us to select the most relevant, namely the following: arithmetic coding, LZW, Tunstall’s algorithm, RLE, BWT, Huffman coding and Shannon-Fano. Secondly, we designed a purposive text dataset with a repeating pattern in order to test the behavior and effectiveness of the selected compression techniques. Thirdly, we designed the compression algorithms and developed the programs (scripts) in Matlab in order to test their performance. Finally, following the tests conducted on relevant data that we constructed according to a deliberate model, the results show that these methods presented in order of performance are very satisfactory:
- LZW
- Arithmetic coding
- Tunstall algorithm
- BWT + RLE
Likewise, it appears that on the one hand, the performance of certain techniques relative to others is strongly linked to the sequencing and/or recurrence of symbols that make up the message, and on the other hand, to the cumulative time of encoding and decoding.