DocumentCode :
2313641
Title :
Quickzip
Author :
Bewoor, Mrunal ; Tayal, Shrey ; Borwankar, Anvay Vivek ; Yadav, Satyajeet ; Jain, Mohit
Author_Institution :
BVUCOE, Pune
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
525
Lastpage :
530
Abstract :
This paper describes compression software that uses different algorithms for compressing data as well as image. The data compression is done by using adaptive Huffman technique, which compresses the data as well as send it to another person in the network in a single pass. The image compression is done by fractal encoding using evolutionary genetic approach. Preprocessing like partitioning, identification of largest solid black rectangle and noise removal is done to improve the performance. We have actually implemented this idea.
Keywords :
Huffman codes; data compression; image coding; image denoising; Quickzip; adaptive Huffman technique; compression software; data compression; noise removal; solid black rectangle; Binary trees; Data compression; Decoding; Fractals; Frequency; Genetics; Huffman coding; Image coding; Software algorithms; Solids; Data compression; Genetic algorithm; Huffman; Image compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location :
Nagpur, Maharashtra
Print_ISBN :
978-0-7695-3267-7
Electronic_ISBN :
978-0-7695-3267-7
Type :
conf
DOI :
10.1109/ICETET.2008.243
Filename :
4579957
Link To Document :
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