DocumentCode
478766
Title
A New Particle Model For Prediction Coding of Lossless Data Compression
Author
Dianxun Shuai ; Liangjun Huang
Author_Institution
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Tech., Shanghai
Volume
1
fYear
2006
fDate
20-24 June 2006
Firstpage
349
Lastpage
354
Abstract
This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression. Local rules for particle movement in GPM, parallel algorithm and its implementation structure to generate the desired predictive coding are discussed. The proposed GPM approach has advantages in terms of encoding speed, parallelism, scalability, simplicity, and easy hardware implementation over other sequential lossless compression methods
Keywords
data compression; linear predictive coding; parallel algorithms; transform coding; generalized particle model; lossless data compression; parallel algorithm; prediction coding; Data compression; Distributed computing; Encoding; Image coding; Image reconstruction; Multimedia databases; Parallel processing; Predictive coding; Predictive models; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location
Hanzhou, Zhejiang
Print_ISBN
0-7695-2581-4
Type
conf
DOI
10.1109/IMSCCS.2006.15
Filename
4673573
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