Comparative data compression techniques and multi-compression results
Data compression is very necessary in business data processing, because of the cost savings that it offers and the large volume of data manipulated in many business applications. It is a method or system for transmitting a digital image (i.e., an array of pixels) from a digital data source to...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/33958/1/1757-899X_53_1_012081.pdf http://irep.iium.edu.my/33958/ http://dx.doi.org/10.1088/1757-899X/53/1/012081 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | Data compression is very necessary in business data
processing, because of the cost
savings that it offers and the large volume of data
manipulated in many business applications.
It is a method or system for transmitting a digital
image (i.e., an array of pixels) from a digital
data source to a digital data receiver. More the size of the data be smaller, it provides better
transmission speed and saves time. In this communication, we always want to transmit data
efficiently and noise freely. This paper will provide some compression techniques for loss less text type data compression and comparative result of multiple and single compression, that will help to find out better compression output and to develop compression algorithms |
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