Comparative Study between Various Algorithms of Data Compression Techniques

The spread of computing has led to an explosion in the volume of data to be stored on hard disks and sent over the Internet. This growth has led to a need for "data compression", that is, the ability to reduce the amount of storage or Internet bandwidth required to handle this data. This paper provides a survey of data compression techniques. The focus is on the most prominent data compression schemes, particularly popular. DOC, .TXT, .BMP, .TIF, .GIF, and .JPG files. By using different compression algorithms, we get some results and regarding to these results we suggest the efficient algorithm to be used with a certain type of file to be compressed taking into consideration both the compression ratio and compressed file size.