A Classification of Lossless and Lossy Data Compression Schemes

Lee, Chin Kho and Kuryati, Kipli and Ngu, Sze Song and Annie, Joseph and Dayang Azra, Awang Mat (2020) A Classification of Lossless and Lossy Data Compression Schemes. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9 (3). pp. 3393-3398. ISSN 2278-3075

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Data compression is a promising scheme to increase memory system capacity, performance and energy advantages. The compression performance could affect the overall network performance when compression scheme is implemented in a communication field. Many data compression schemes have been introduced. Most of other researchers choose very limited parameters to analyze the performance of the selected data compression scheme. This paper classifies the major data compression schemes according to nine different perspectives, such as homogeneity, purpose, accuracy, structuring of the data, repetition distance, structure sharing, number of passes, sampling frequency, and sample size ratio. Various data compression schemes are examined and classified according to the parameters mentioned above. The classification will provide researchers with the in-depth insight on the potential role of compression schemes in memory components and network performance of future extreme-scale systems.

Item Type: Article
Uncontrolled Keywords: Data Compression, Lossless, Homogeneity, Accuracy, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, , research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Gani
Date Deposited: 17 Mar 2020 05:38
Last Modified: 31 Mar 2021 07:39
URI: http://ir.unimas.my/id/eprint/29352

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