一种基于小波的Contourlet变换的图像压缩算法

宋蓓蓓; 许录平; 孙文方

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一种基于小波的Contourlet变换的图像压缩算法

专题研究 | 更新时间：2025-12-08

- 一种基于小波的Contourlet变换的图像压缩算法
- Image Compression Algorithm Using Wavelet-Based Contourlet Transform
- 西安交通大学学报 2007年41卷第4期页码：479-483
- 作者机构：
  
  西安电子科技大学电子工程学院,西安,710071
- 作者简介：
- 基金信息：
  
  : 2006-06-22. 作者简介: 宋蓓蓓(1980～),女,博士生;许录平(联系人),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(60472085);陕西省自然科学基金资助项目(2006F01)
- DOI：
  中图分类号： TN911.7
- 网络首发：2007-04-10，
  
  纸质出版：2007
- 稿件说明：
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宋蓓蓓, 许录平, 孙文方. 一种基于小波的Contourlet变换的图像压缩算法[J]. 西安交通大学学报, 2007,41(4):479-483.

宋蓓蓓, 许录平, 孙文方. Image Compression Algorithm Using Wavelet-Based Contourlet Transform[J]. 2007, 41(4): 479-483.
宋蓓蓓, 许录平, 孙文方. 一种基于小波的Contourlet变换的图像压缩算法[J]. 西安交通大学学报, 2007,41(4):479-483. DOI：

宋蓓蓓, 许录平, 孙文方. Image Compression Algorithm Using Wavelet-Based Contourlet Transform[J]. 2007, 41(4): 479-483. DOI：

摘要

针对JPEG2000图像压缩不能有效地保护图像边缘的局限

提出了一种结合基于小波的Contourlet变换与最优截断嵌入码块编码(EBCOT)的静止图像压缩算法(CEBCOT).在Contourlet变换中采用小波变换取代拉普拉斯塔式变换获得了非冗余基于小波的Contourlet变换

它通过方向滤波器组把小波变换的高频子带进一步分解为多个方向子带

从而更稀疏地表示了图像的边缘和纹理.CEBCOT采用了改进的EBCOT编码

它依照方向子带大小进行编码块分割

提高了编码性能.实验结果表明

相对于JPEG2000

所提出的算法获得的压缩图像边缘更加清晰

峰值信噪比提高了0.1～0.8 dB.

Abstract

To overcome the limitation of JPEG2000 in image edge preservation

a novel still image compression algorithm called CEBCOT was presented

in which the algorithm was constructed by wavelet-based contourlet transform and embedded block coding with optimized truncation(EBCOT). In the contourlet transform

the Laplacian pyramid transform was replaced by the wavelet transform to obtain non-redundant wavelet-based contourlet transform. The high frequency subband decomposed by the wavelet transform was further decomposed into multiple directional subbands by directional filterbank so as to explain the edge and texture of the image more sparsely. A modified EBCOT coder with code-block partition according to the size of directional subband was adopted to increase the coding performance. Experiments demonstrate that compared to JPEG2000

the edges of the compressed images obtained by our proposed algorithm are clearer

the peak signal-noise ratio is increased by 0.1 dB to 0.8 dB.

关键词

Keywords

references

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

Eslami R, Radha H. Wavelet-based contourlet transform and its application to image coding [C]∥Proceeding of IEEE International Conference on Image Processing. Piscateway, USA:IEEE,2004:3189-3192.

Eslami R, Radha H.Wavelet-based contourlet coding using an SPIHT-like algorithm [C]∥Proceeding of Conference on Information Science and Systems.Piscateway, USA:IEEE,2004: 784-788.

Eslami R, Radha H.New image transform using hybrid wavelets and directional filter banks: analysis and design [C]∥Proceeding of IEEE International Conference on Image Processing.Piscateway,USA:IEEE,2005: 733-736.

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

Said A, Pearlman W. A new,fast and efficient image codec based on set partitioning in hierarchical trees [J].IEEE Trans on Circuits Systems for Video Technology,1996,6(3):243-250.

Taubman D. High performance scalable image compression with EBCOT [J]. IEEE Trans on Image Processing,2000,9(7): 1158-1170.

吴宗泽, 郑南宁, 黄宇, 等. 基于编码通道数的JPEG2000压缩率控制算法[J].西安交通大学学报,2004,38(12):1216-1219.

Wu Zongze,Zheng Nanning,Huang Yu,et al.Novel scheme for JPEG2000 rate control based on number of coding passes [J].Journal of Xi'an Jiaotong University,2004, 38(12):1216-1219.

DaCunha L A. Nonsubsampled contourlet transform toolbox [EB/OL].(2005-11-3)[2006-4-6]. http:∥www.ifp.uiuc.edu/～cunhada/nsct_toolbox.zip.

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