Image Compression Using Wavelet Transform and Constraint Matrix

He Li

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Image Compression Using Wavelet Transform and Constraint Matrix

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- Image Compression Using Wavelet Transform and Constraint Matrix
- Acta Electronica Sinica Issue 4, (1995)
- 作者机构：
  
  1. 北京邮电部数据通信技术研究所
  2. 武汉大学空间物理与电子信息学系
  3. 北京邮电部数据通信技术研究所武汉大学空间物理与电子信息学系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.8
- Published：1995
- 稿件说明：
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[1]何立,王延平.利用小波变换和约束矩阵进行图像压缩编码[J].电子学报,1995(04):20-23.

He Li. Image Compression Using Wavelet Transform and Constraint Matrix[J]. Acta Electronica Sinica, 1995, (4).
[1]何立,王延平.利用小波变换和约束矩阵进行图像压缩编码[J].电子学报,1995(04):20-23. DOI：

He Li. Image Compression Using Wavelet Transform and Constraint Matrix[J]. Acta Electronica Sinica, 1995, (4). DOI：

摘要

本文将小波变换和矢量量化相结合对图像进行压缩编码，分析了图像经小波变换后的数据结构特性以及各小波分量之间的相关性。这种相关性的存在是由于小波变换具有良好的空──频域局部化特性。本文构造了结构约束矩阵来描述这种相关性，并以此为基础对传统的矢量量化算法进行了改进，改进后的算法减小了计算量，降低了码率。

Abstract

A modified VQ algorithm based on"Structure Constraint Matrix"is presented in this paper. After image decomposition

a multiresolution pyramidial representaion is yielded and the geometric image structure is preserved.We use Vector Quantization to code the wavelet coefficients."Structure Constraint Matrix" is proposed tO describe the correlationship caused by the space-frequency localization property of wavelet transform

and to reduce the computational load in VQ algorithm.Experimental results are given to show its better perfomance.

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