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计算机工程 ›› 2011, Vol. 37 ›› Issue (6): 206-208. doi: 10.3969/j.issn.1000-3428.2011.06.071

• 图形图像处理 • 上一篇    下一篇

基于系数块的改进SPIHT算法

朱华亮 a,修春娣 a,韦志棉 b   

  1. (北京航空航天大学 a. 电子信息工程学院;b. 无人机所,北京 100191)
  • 出版日期:2011-03-20 发布日期:2011-03-29
  • 作者简介:朱华亮(1986-),男,硕士研究生,主研方向:小波变换,信源信道联合编码;修春娣,讲师、博士;韦志棉,研究员、 硕士
  • 基金资助:
    国家自然科学基金资助项目(60672102);国家部委基金资助项目

Improved SPIHT Algorithm Based on Block of Coefficients

ZHU Hua-liang a, XIU Chun-di a, WEI Zhi-mian b   

  1. (a. School of Electronic and Information Engineering; b. Institute of Unmanned Aerial Vehicle, Beihang University, Beijing 100191, China)
  • Online:2011-03-20 Published:2011-03-29

摘要: 介绍基于离散小波变换的分层树集合分割排序(SPIHT)编码算法的图像压缩流程和特点,论述了针对该算法进行改进的方向,分析该算法的优缺点,并针对其缺点提出不影响算法整体结构的改进方法,减少编码冗余,提高编码速度。理论分析和实验结果表明,该算法在低比特率时能提高峰值信噪比,在高比特率时也能有较高的峰值信噪比。

关键词: 离散小波变换, 图像压缩, 多级树集合分裂编码, 峰值信噪比

Abstract: This paper introduces the procedure and features for image compression using Set Partitioning In Hierarchical Trees(SPIHT) coding based on DWT, summarizes the aspects of improved SPIHT algorithm, analyzes the advantages and disadvantages of the algorithm profoundly, gives some initial treatments which do not affect the algorithm main frame in accordance with the above disadvantages and develops the algorithm, which can reduce the redundancy and improve the encoding speed. Theoretical analysis and experimental result show the proposed algorithm can enhance the PSNR with low bit rate and maintain high PSNR with high bit rate.

Key words: DWT, image compression, Set Partitioning In Hierarchical Trees(SPIHT) Coding, PSNR

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