Title :
Digital Data Compression by Segments Indices Reassignment
Author :
Ahmed, M. Waqar ; El Mahallawy, M.
Author_Institution :
Alexandria Univ., Alexandria
Abstract :
The LZW data compression technique has been used for several years in many applications. LZW has proved to be a very efficient technique so I will express my thesis based on it. I will try to make use of the indices that are not used after some time through the compressiondecompression process. These indices can be assigned to different data segments to them after we are sure that the data they contain will not be used again. This technique will be more complicated in programming and have some disadvantages but will give a compression better than the ordinary LZW by about 60%. I have developed a software to simulate this technique and the ordinary LZW to use them to compress same files, results of comparison are shown.
Keywords :
data compression; LZW data compression technique; digital data compression; segment indices reassignment; Application software; Computational modeling; Computer science; Data communication; Data compression; Data engineering; Indexing; Technological innovation; Data compression; Data transmission; computer science;
Conference_Titel :
EUROCON, 2007. The International Conference on "Computer as a Tool"
Conference_Location :
Warsaw
Print_ISBN :
978-1-4244-0813-9
Electronic_ISBN :
978-1-4244-0813-9
DOI :
10.1109/EURCON.2007.4400232