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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