Survey On Parameters of Data Compression-Reference-Cited by-同舟云学术

Survey On Parameters of Data Compression

Published:2023-03-01 Issue:1 Volume:2 Page:1-7
ISSN:
Container-title:REST Journal on Data Analytics and Artificial Intelligence
language:
Short-container-title:jdaai

Author:

Nithya P¹,Vengattaraman T¹,Sathya M¹

Affiliation:

1. School of Engineering and Technology, Pondicherry University, Puducherry, India.

Abstract

The rapid development in the hardware and the software gives rise to data growth. This data growth has numerous impacts, including the need for a larger storage capacity for storing and transmitting. Data compression is needed in today’s world because it helps to minimize the amount of storage space required to store and transmit data. Performance measures in data compression are used to evaluate the efficiency and effectiveness of data compression algorithms. In recent times, numerous data compression algorithms are developed to reduce data storage and increase transmission speed in this internet era. In order to analyses how data compression performance is measured in terms of text, image, audio, and video compressions. This survey presents discussion made for important data compression parameters according to their data types.

Publisher

REST Publisher

Subject

General Mathematics,General Physics and Astronomy,General Agricultural and Biological Sciences,General Environmental Science,General Medicine,Multidisciplinary,Nutrition and Dietetics,Medicine (miscellaneous),Insect Science,Physiology,Ecology, Evolution, Behavior and Systematics,Insect Science,Ecology, Evolution, Behavior and Systematics,General Physics and Astronomy,General Engineering,General Mathematics,General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference43 articles.

1. ?Jayasankar, V. Thirumal, and D. 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, vol. 33, no. 2, pp. 119–140, Feb. 2021, doi: 10.1016/j.jksuci.2018.05.006.

2. Hosseini, “A Survey of Data Compression Algorithms and their Applications,” 2012, doi: 10.13140/2.1.4360.9924.

3. Boopathiraja, V. Punitha, P. Kalavathi, and V. B. S. Prasath, “Computational 2D and 3D Medical Image Data Compression Models,” Arch Computat Methods Eng, vol. 29, no. 2, pp. 975–1007, Mar. 2022, doi: 10.1007/s11831-021-09602-w.

4. Tanvi Patel, Judith Angela, Poonam Choudhary, Kruti Dangarwala, and Sad Vidhya Mandal Institue of Technology, “Survey of Text Compression Algorithms,” IJERT, vol. V4, no. 03, p. IJERTV4IS030932, Mar. 2015, doi: 10.17577/IJERTV4IS030932.

5. A. Rahman and M. Hamada, “Burrows–Wheeler Transform Based Lossless Text Compression Using Keys and Huffman Coding,” Symmetry, vol. 12, no. 10, p. 1654, Oct. 2020, doi: 10.3390/sym12101654.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Readability of Electrical Network Complex Emergency Modes Provided by Data Compression Methods;Information;2023-04-08