并行MPS算术编码的性能分析
doi: 10.3724/SP.J.1146.2008.01599
Performance Analysis of Arithmetic Code on Parallelized MPS
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摘要: 利用多维二进制码流的统计规律，基于MPS并行的算术编码不但避免了传统并行算术编码的复杂运算，且不会影响其基本概率估计规律。该文运用全概率定理和统计平均思想从理论上分析了并行度与加速比、编码效率之间的关系，指出并行度为2的MPS并行编码方案在编码速度和效率方面较其它并行度占有很大优势，并行度3和4的编码方案在编码效率方面基本持平，并加以试验证明。Abstract: Arithmetic code on parallelized MPS(Most Probable Symbol) not only avoids complex operation of classical parallelized arithmetic code, but also does not inflect its basic probability estimation rule since utilizing statistic law of multidimensional binary coding. The relation between parallel degree, speedup ratio and coding efficiency is theoretically analyzed based on the theorem of complete probability and statistic average. It is pointed out the algorithm with 2 parallel degree is superior to others on the coding efficiency and speed, the algorithm of 3 parallel degree is equal to the one of 4 parallel degree on the coding efficiency. The result is verified by the experiment.
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Zhang Yi-zhen, Xu Chao, and Wang Wen-tao. Performanceanalysis and architecture design for parallel EBCOT encoderof JPEG2000[J].IEEE Transactions on Circuits and Systemsfor Video Technology.2007, 17(10):1336-1347[2]Li Y J, Elgamel M, and Bayoumi M. A partial parallelalgorithm and architecture for arithmetic encoder inJPEG2000[C]. IEEE International Symposium on Circuitsand Systems, Kobe Japan, 2005, 5: 5198-5201.[3]Pastuszak G. A high-performance architecture ofdouble-mode binary coder for H264.AVC[J].. IEEETransactions on Circuits and Systems for Video Technology.2008, 18(7):949-960[4]Gupta A K, Nooshabadi S, and Taubman D. Realizinglow-cost high-throughput general-purpose block encoder forJPEG2000[J].IEEE Transactions on Circuits and Systemsfor Video Technology.2006, 16(7):843-858[5]Lin J H and Keshab K P. Parallelization of context-basedadaptive binary arithmetic coders[J].IEEE Transactions onSignal Processing.2006, 54(10):3702-3711[6]Andra K. Wavelet and entropy coding accelerator for JPEG2000. [Ph.D. dissertation]. USA: Arizona State University,2001.[7]Pennebaker W B and Mitchell J L. Probability estimation forthe Q-Coder[J].IBM Journal of Research and Development.1988, 32(6):737-752[8]焦润海. 图像压缩中的高效预测编码及其优化实现技术. [博士论文], 北京: 北京航空航天大学计算机学院, 2007.Jiao R H. High efficient prediction coding and itsoptimization in image compression. [Ph.D.dissertation],Beijing: School of Computer Science and Engineering,Beihang University, 2007. -
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