LOSSLESS DATA COMPRESSION TECHNIQUES AND COMPARISON BETWEEN THE ALGORITHMS
Pooja Singh
Abstract
Pooja Singh
Abstract
This research paper provides different data compression methodologies and compare their performance based on the example. Data Compression is a process which reduces the size of data removing excessive information form it. Shorter data size is suitable as it reduces cost. Thus, the main aim of data compression is to remove data redundancy from the store or transmitting data. Data compression is also an important application in field of file storage and distributed system as in distributed system data are to send and receive from all the system. So Speed and performance efficiency are also major factor as in terms of data compression is to be used. Different data compression techniques are thus used for different data formats like text,audio,video and image files. Mainly there are two forms of data compression :- Lossy and Lossless. But in the lossless data compression, the integrity of data is to be preserved.
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This research paper provides different data compression methodologies and compare their performance based on the example. Data Compression is a process which reduces the size of data removing excessive information form it. Shorter data size is suitable as it reduces cost. Thus, the main aim of data compression is to remove data redundancy from the store or transmitting data. Data compression is also an important application in field of file storage and distributed system as in distributed system data are to send and receive from all the system. So Speed and performance efficiency are also major factor as in terms of data compression is to be used. Different data compression techniques are thus used for different data formats like text,audio,video and image files. Mainly there are two forms of data compression :- Lossy and Lossless. But in the lossless data compression, the integrity of data is to be preserved.
Key concepts: Lossy compression, Lossless compression, Data compression, Computer science, Data compression ratio, Image compression, Texture compression, Redundancy (engineering)