Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (12): 167-169.DOI: 10.3778/j.issn.1002-8331.2009.12.054

• 图形、图像、模式识别 • Previous Articles     Next Articles

Coefficient rearrangement of multiwavelet SPIHT and its application in image coding

SUN Wei-ping1,CHEN Jia-zhong1,XIANG Dong2,GAO Yi1   

  1. 1.College of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China
    2.College of Computer Science and Technology,Wuhan University of Technology,Wuhan 430063,China
  • Received:2008-03-06 Revised:2008-05-22 Online:2009-04-21 Published:2009-04-21
  • Contact: SUN Wei-ping

多重小波系数重排SPIHT及其在图像编码中的应用

孙伟平1,陈加忠1,向 东2,高 毅1   

  1. 1.华中科技大学 计算机学院,武汉 430074
    2.武汉理工大学 计算机学院,武汉 430063
  • 通讯作者: 孙伟平

Abstract: An image coding scheme based on the feature of SPIHT is proposed.After pre-filtering and two dimensional multiwavelet decomposition are performed to original image,three hierarchical trees are constructed based on a new scan order to obtain sub-bands which like those in scalar wavelet decomposition.Then a new quantization based on the statistical analysis of wavelet coefficients is applied for SPIHT.Experimental results demonstrate that this scheme is effective and promising.

摘要: 根据SPIHT算法的特点,提出了适合SPIHT算法实现的图像编码方案。首先对图像做预滤波和二维的二重小波分解;然后为了更好地利用小块之间数据的相关性,把三层的二重小波分解的子带结构重排成了类似标量小波分解的子带结构;接下来根据小波系数值的统计分析对小波系数进行量化处理。SPIHT编码的实验结果显示,这种编码方案能取得较好的编码效果。