基于层次模型的重要性编码算法

周映虹; 马争鸣

doi:10.3724/SP.J.1146.2008.00843

基于层次模型的重要性编码算法

doi: 10.3724/SP.J.1146.2008.00843

周映虹^{①;马争鸣},
马争鸣

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出版历程
- 收稿日期: 2008-07-03
- 修回日期: 2008-11-27
- 刊出日期: 2009-06-19

A Significance Coding Algorithm Based on Layer Model

Zhou Ying-hong^{①;马争鸣},
Ma Zheng-ming

摘要

摘要: 该文提出了基于层次模型的重要性编码算法，该算法在不改变JPEG2000上下文模型前提下按照重要系数的空间聚集区域进行层次邻域编码。实验结果表明：新算法输出的码流的自相关性较JEG2000以及Hilbert曲线输出的码流的自相关性好；新算法的平均码率较JPEG2000的条带扫描以及Hilbert曲线扫描的平均码率分别提高了1.06%，0.57%；而且，新算法的平均码率较JPEG2000的上下文量化优化算法获得的平均码率提高了1.08%。
- 图像编码;JPEG2000;重要性编码;条带扫描;Hilbert曲线
Abstract: A significance coding algorithm based on layer model is proposed. Without changing the context template of JPEG2000, the proposed scheme uses an explicit layer template to dynamically arrange the scan path of wavelet coefficients. Experimental results show that the proposed scheme provides better autocorrelation outputted bit stream than stripe scanning of JPEG2000 and Hilbert curve scan; and the proposed scheme improves over stripe scanning and Hilbert curve scanning in terms of average bit rates by 1.06% and 0.57%, respectively. Moreover, the proposed scheme achieves an improvement 1.08% over context quantization optimization algorithms based on JPEG2000 in terms of average bit rates.

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Shapiro J M. Embedded image coding using zerotrees ofwavelet coefficients [J].IEEE Trans. on Signal Processing.1993, 41(12):3445-3462[2]Taubman D. High performance scalable image compressionwith EBCOT [J].IEEE Trans. on Image Processing.2000,9(7):1158-1170[3]Liu J and Moulin P. Information-theoretic analysis ofinterscale and intrascale dependencies between image waveletcoefficients[J].IEEE Trans. on Image Processing.2001,10(11):1647-1658[4]伞兴, 蔡华, 吴秀清. 基于时、频域上下文模型的图像压缩算法[J]. 小型微型计算机系统, 2006, 27(8): 1556-1559.San Xing, Cai Hua, and Wu Xiu-qing. Image coding based onspatial and frequency context model [J]. Journal of ChineseComputer Systems, 2006, 27(8): 1556-1559.[5]Liu Zhen and Karam L J. Mutual information-based analysisof JPEG2000 contexts [J].IEEE Trans. on Image Processing.2005, 14 (4):411-422[6]Forchhammer S, Wu Xiao lin, and Andersen J D. Losslessimage data sequence compression using optimal contextquantization [J].IEEE Trans. on Image Processing.2004,13(4):509-517[7]Krivoulets A, Wu Xiaolin, and Forchhammer S. Onoptimality of context modeling for bit-plane entropy codingin the JPEG2000 standard[C]. Proc. of Very Low BitrateVideo Coding, Madrid, Spain, 2003: 208-216.[8][8] ISO/IEC 15444-1: Information TechnologyJPEG 2000Image Coding SystemPart1: Core Coding System [S].[9]Hans Sagan. Space-Filling Curves [M]. New York:Springer-Verlag. 1994, Chapter 9.[10]Memon N, Neuhoff D, and Shende S. An analysis of somecommon scanning techniques for lossless image coding [J].IEEE Trans. on Image Processing.2000, 9(11):1837-1848[11]Gotsman C and Lindenbaum M. On the metric properties ofdiscrete space-filling curves [J]. IEEE Trans. on ImageProcessing, 1996, 5(5): 794-797.[12]Witten I, Neal R, and Cleary J. Arithmetic coding for datacompression[J].Communications of the ACM.1987, 30(6):520-540

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