Image Coding Using Wavelet-Based Contourlet Transform

TIAN Xiu-wei; ZHENG Xi-feng; DING Tie-fu

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Image Coding Using Wavelet-Based Contourlet Transform

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Image Coding Using Wavelet-Based Contourlet Transform
- Chinese Journal of Liquid Crystals and Displays Vol. 24, Issue 2, Pages: 268-272(2009)
- 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：
  CLC： TP391
- Received：18 September 2008，
  
  Revised：02 January 1900，
  
  Published Online：30 April 2009，
  
  Published：30 April 2009
- 稿件说明：
移动端阅览
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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references

. Do M N. Directional multiresolution image representations . Lausanne, Switzerland:Swiss Federal Institute of Technology, 2001.

. Minh N Do, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J].IEEE Trans on Image Processing,2005, 14(12):2091-2106.

. Duncan D Y, Po M N. Do Directional multiscale modeling of images using the contourlet transform [J]. IEEE Trans. on Image Processing, 2006, 15(6):1610-1620.

. Eslami R, Radha H. Wavelet-based contourlet transform and its application to image coding //IEEE International Conference on Image Processing, Singapore:IEEE, 2004:3189-3192.

. Said A, Pearlman W A. A new fast and efficient image codec based on set partitioning in hierarchical trees [J]. IEEE Trans on Circuits and Systems for Video Technology, 1996, (6):243-250.

. Eslami R, Radha H. Wavelet-based contourlet coding using an SPIHT-like algorithm // Conference on Information Science and Systems, Princeton, Piscateway, USA:IEEE, 2004:784-788.

. Chappelier V, Guillemot C, Marinkovic S. Image coding with iterated contourlet and wavelet transforms //IEEE International Conference on Image Processing, Piscateway, USA:IEEE, 2004:3157-3160.

. Eslami R, Radha H. New image transform using hybrid wavelets and directional filter banks:analysis and design //IEEE, International Conference on Image Processing,Genova, Italy:IEEE,2005:733-736.

. Islam A, Pearlman W A. An embedded and efficient low complexity hierarchical image coder //SPIE International Conference on Visual Communications and Image Processing, San Jose,CA:SPIE, 1999:294-305.

. 夏军,连元冠,刘璐,等.移动显示液晶屏上视频图像质量研究 [J]. 液晶与显示 ,2006,21(6):609-614.

. 何友兵, 李大海, 李良玉,等.彩色立体图像匹配算法研究 [J]. 液晶与显示 ,2007,22(4):422-423.

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