A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications
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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-02-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157818301101 |
| _version_ | 1819051118664089600 |
|---|---|
| author | Uthayakumar Jayasankar Vengattaraman Thirumal Dhavachelvan Ponnurangam |
| author_facet | Uthayakumar Jayasankar Vengattaraman Thirumal Dhavachelvan Ponnurangam |
| author_sort | Uthayakumar Jayasankar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T11:58:52Z |
| format | Article |
| id | doaj.art-8949171cde114aca92174208ba180c48 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-12-21T11:58:52Z |
| publishDate | 2021-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-8949171cde114aca92174208ba180c482022-12-21T19:04:53ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782021-02-01332119140A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applicationsUthayakumar Jayasankar0Vengattaraman Thirumal1Dhavachelvan Ponnurangam2Corresponding author.; Department of Computer Science, Pondicherry University, Puducherry, IndiaDepartment of Computer Science, Pondicherry University, Puducherry, IndiaDepartment of Computer Science, Pondicherry University, Puducherry, IndiaExplosive 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.http://www.sciencedirect.com/science/article/pii/S1319157818301101Data compressionData redundancyText compressionImage compressionInformation theoryEntropy encoding |
| spellingShingle | Uthayakumar Jayasankar Vengattaraman Thirumal Dhavachelvan Ponnurangam A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications Journal of King Saud University: Computer and Information Sciences Data compression Data redundancy Text compression Image compression Information theory Entropy encoding |
| title | A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications |
| title_full | A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications |
| title_fullStr | A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications |
| title_full_unstemmed | A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications |
| title_short | A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications |
| title_sort | survey on data compression techniques from the perspective of data quality coding schemes data type and applications |
| topic | Data compression Data redundancy Text compression Image compression Information theory Entropy encoding |
| url | http://www.sciencedirect.com/science/article/pii/S1319157818301101 |
| work_keys_str_mv | AT uthayakumarjayasankar asurveyondatacompressiontechniquesfromtheperspectiveofdataqualitycodingschemesdatatypeandapplications AT vengattaramanthirumal asurveyondatacompressiontechniquesfromtheperspectiveofdataqualitycodingschemesdatatypeandapplications AT dhavachelvanponnurangam asurveyondatacompressiontechniquesfromtheperspectiveofdataqualitycodingschemesdatatypeandapplications AT uthayakumarjayasankar surveyondatacompressiontechniquesfromtheperspectiveofdataqualitycodingschemesdatatypeandapplications AT vengattaramanthirumal surveyondatacompressiontechniquesfromtheperspectiveofdataqualitycodingschemesdatatypeandapplications AT dhavachelvanponnurangam surveyondatacompressiontechniquesfromtheperspectiveofdataqualitycodingschemesdatatypeandapplications |