International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 178 - Number 28 |
Year of Publication: 2019 |
Authors: Anshul Anup Rajput, Ravi Ashok Rajput, Pooja Raundale |
10.5120/ijca2019919104 |
Anshul Anup Rajput, Ravi Ashok Rajput, Pooja Raundale . Comparative Study of Data Compression Techniques. International Journal of Computer Applications. 178, 28 ( Jun 2019), 15-19. DOI=10.5120/ijca2019919104
This document discusses data compression and some of the data compression techniques. Data Compression is a technique of reducing the amount of space data occupies, to ease the process of storage and communication. This involves but is not limited to interpretation and elimination of redundancy in data. The fundamental process of compression involves using a well drafted technique to convert the actual data into the compressed data (smaller size). Depending upon how well a compression technique works and how much data can be regenerated from the compressed data given by a certain technique, the technique is classified as either as a lossy data compression technique or lossless data compression technique.