一种基于小波-Contourlet变换的图像编码算法

田秀伟; 郑喜凤; 丁铁夫

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一种基于小波-Contourlet变换的图像编码算法

成像技术与图像处理 | 更新时间：2020-08-12

- 一种基于小波-Contourlet变换的图像编码算法
- Image Coding Using Wavelet-Based Contourlet Transform
- 液晶与显示 2009年24卷第2期页码：268-272
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033,E-mail:txw1981@126.com
  2. 中国科学院研究生院北京,100039
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TP391
- 收稿日期：2008-09-18，
  
  修回日期：1900-01-02，
  
  网络出版日期：2009-04-30，
  
  纸质出版日期：2009-04-30
- 稿件说明：
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田秀伟;郑喜凤;丁铁夫. 一种基于小波-Contourlet变换的图像编码算法[J]. 液晶与显示, 2009,24(2): 268-272

TIAN Xiu-wei;ZHENG Xi-feng;DING Tie-fu. Image Coding Using Wavelet-Based Contourlet Transform[J]. 液晶与显示, 2009,24(2): 268-272
田秀伟;郑喜凤;丁铁夫. 一种基于小波-Contourlet变换的图像编码算法[J]. 液晶与显示, 2009,24(2): 268-272 DOI：

TIAN Xiu-wei;ZHENG Xi-feng;DING Tie-fu. Image Coding Using Wavelet-Based Contourlet Transform[J]. 液晶与显示, 2009,24(2): 268-272 DOI：

摘要

根据小波-Contourlet变换对图像分解具有多尺度和多方向性的特点

提出了一种结合小波-Contourlet 变换和集合分裂嵌入块(SPECK)编码的图像压缩算法(CSPECK)。小波-Contourlet通过方向滤波器组把小波分解的高频子带进一步分解为多个方向子带

从而可更稀疏地表示图像的边缘和纹理。SPECK算法编码具有复杂度低和编码效率高的优点。实验结果表明

CSPECK算法对纹理丰富的图像有很好的压缩效果

与基于小波-Contourlet 变换的CSPIHT算法相比

峰值信噪比提高了0.2~0.6 dB。

Abstract

As the wavelet-based contourlet transform provides a multi-scale and directional decomposition for images

a new image coding scheme called CSPECK was proposed

which was constructed by wavelet-based contourlet transform and set partitioning embedded block (SPECK) algorithm. In the wavelet-based contourlet transform

the high frequency sub-band decomposed by the wavelet transform was further decomposed into multiple directional sub-bands by directional filter bank so as to explain the edge and texture of the image more sparsely. The SPECK algorithm exhibits lower complexity and more efficient compression ratio. Experimental results demonstrate that the proposed method is efficient in coding images that possess mostly textures and contours. The simulation results also show that this new coding algorithm increases the PSNR by 0.2~ 0.6 dB over CSPIHT.

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Keywords

references

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