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A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications
- Source :
- Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 2, Pp 119-140 (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Explosive growth of data in digital world leads to the requirement of efficient technique to store and transmit data. Due to limited resources, data compression (DC) techniques are proposed to minimize the size of data being stored or communicated. As DC concepts results to effective utilization of available storage area and communication bandwidth, numerous approaches were developed in several aspects. In order to analyze how DC techniques and its applications have evolved, a detailed survey on many existing DC techniques is carried out to address the current requirements in terms of data quality, coding schemes, type of data and applications. A comparative analysis is also performed to identify the contribution of reviewed techniques in terms of their characteristics, underlying concepts, experimental factors and limitations. Finally, this paper insight to various open issues and research directions to explore the promising areas for future developments.
- Subjects :
- Information theory
General Computer Science
Image compression
Computer science
Data redundancy
020206 networking & telecommunications
02 engineering and technology
Storage area
computer.software_genre
Data type
lcsh:QA75.5-76.95
Text compression
Entropy encoding
Communication bandwidth
Data quality
Data compression
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Data mining
lcsh:Electronic computers. Computer science
Limited resources
computer
Coding (social sciences)
Subjects
Details
- Language :
- English
- ISSN :
- 13191578
- Volume :
- 33
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of King Saud University: Computer and Information Sciences
- Accession number :
- edsair.doi.dedup.....9361119060105841fae02b47a3cf66d0