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
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;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.15
