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