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General Information

Prof. Pascal Lorenz
University of Haute Alsace, France
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2012 Vol.1(4): 330-333 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2012.V1.89

Prediction Truncation Algorithm Based on Regression Analysis for Embedded Block Coding

Yanjun Liu and Zupeng Liu

Abstract—In order to solve the problems of execution complexity and time waste in compression process induced by Post Compression Rate Distortion(PCRD) Optimization in embedded block coding in JPEG2000, this paper proposes an effective method to promote coding efficiency-embedded block coding algorithm with prediction truncation based on regression analysis. This algorithm predicts the truncation points based on regression formula derived from linear regression analysis. It avoids scanning and encoding the bit planes that can be truncated, discards the time-consuming rate-distortion truncation processing, so that the algorithm is able to speed up the compression process. The experiment results show the algorithm obtains obvious promotion efficiency of coding speed.

Index Terms—JPEG2000, embedded block coding, regression analysis, prediction truncation

Yanjun Liu is with the College of Computer and Information Engineering, Xinxiang University, Xinxiang, 453003, China (e-mail: lyjabb@163.com)
Zupeng Liu, is with the Department of Electronic and Communication Engineering, Henan Mechanical and Electrical Engineering College, Xinxiang, 453000, China.


Cite: Yanjun Liu and Zupeng Liu, "Prediction Truncation Algorithm Based on Regression Analysis for Embedded Block Coding," International Journal of Future Computer and Communication vol. 1, no. 4 pp. 330-333, 2012.

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