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Contourlet和小波相结合的SPIHT算法
引用本文:吕嘉凯,冯燕,吕维.Contourlet和小波相结合的SPIHT算法[J].计算机工程与应用,2009,45(27):168-170.
作者姓名:吕嘉凯  冯燕  吕维
作者单位:西北工业大学 电子信息学院,西安 710072
摘    要:借鉴Contourlet变换和WBCT的思想,采用Contourlet和小波相结合的变换,并根据变换后系数的特殊结构,提出了一种新的空间方向树结构,实现了对变换后系数的类似SPIHT编码,达到了对图像压缩的目的。实验表明,该算法能更好地恢复图像的纹理和细节信息,并在低比特率下具有较高的峰值信噪比。

关 键 词:Contourlet变换  小波变换  图像编码  多级树集合分裂编码算法  基于小波的Contourlet变换  
收稿时间:2008-5-22
修稿时间:2008-8-5  

SPIHT coding algorithm based on mixed Contourlet and wavelet transform
LV Jia-kai,FENG Yan,LV Wei.SPIHT coding algorithm based on mixed Contourlet and wavelet transform[J].Computer Engineering and Applications,2009,45(27):168-170.
Authors:LV Jia-kai  FENG Yan  LV Wei
Affiliation:School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710072,China
Abstract:A Mixed Contourlet and Wavelet Transform(MCWT) is employed according to Contourlet Transform and Wavelet based Contourlet Transform(WBCT).Due to particularity of the MCWT coefficients,a new spatial orientation tree is proposed to perform the Set Partitioning In Hierarchical Trees coding algorithm.Experimental results demonstrate that the proposed algorithm perform high Peak Signal to Noise Ratio(PSNR) at low bit rate,and it can keep more contours and textures in the reconstructed images.
Keywords:Contourlet transform  Wavelet Transform  image coding  Set Partitioning In Hierarchical Trees(SPIHT)  Wavelet based Contourlet Transform(WBCT)
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