计算机科学 ›› 2015, Vol. 42 ›› Issue (4): 302-305.doi: 10.11896/j.issn.1002-137X.2015.04.062

• 图形图像与模式识别 • 上一篇    下一篇

基于混合域的改进SPIHT图像编码算法

王学春,刘申晓,常朝稳   

  1. 黄河科技学院信息工程学院 郑州450006,黄河科技学院信息工程学院 郑州450006,解放军信息工程大学电子技术学院 郑州450004
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受河南省教育厅科学技术研究重点项目(12B510018),郑州市嵌入式系统应用技术重点实验室(121PYFZX177)资助

Improved SPIHT Image Coding Algorithm Based on Hybrid Domain

WANG Xue-chun, LIU Shen-xiao and CHANG Chao-wen   

  • Online:2018-11-14 Published:2018-11-14

摘要: 为使图像压缩编码算法同时具有较高的压缩比和较好的图像复原质量,提出了一种基于Contourlet与小波变换的混合域图像编码方案,并在分析 SPIHT算法的基础上进一步改进,取消了SPIHT算法中对LIS表的分类,统一按照先子代后孙代的小波空间树顺序进行编码。仿真实验结果表明,提出的混合域图像压缩编码方案是一种高效的数字图像压缩算法,与SPIHT算法相比,该算法的重建图像具有更好的视觉效果,而且提高了编码速度。

关键词: 图像编码,Contourlet变换,小波变换,SPIHT算法

Abstract: In order to make image compression algorithm have higher compression ratio and better visual effect,this paper proposed an hybrid domain image coding scheme based on wavelet transform and Contourlet.On the basis of the analysis of the SPIHT algorithm,we cancelled the classification of LIS tables in the SPIHT algorithm,and made image coding uniformly according to the first offspring after sun generation wavelet space tree coding sequence.The comparing results show that the new image compression scheme is superior to that of SPIHT in the recovery image quality and coding time.

Key words: Image coding,Contourlet transform,Wavelet transform,SPIHT algorithm

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