Tree-Structured Wavelet Decomposition and ItsApplication on Textured Images Compression

您当前的位置：

首页 >

文章列表页 >

更新时间：2025-12-08

- Tree-Structured Wavelet Decomposition and ItsApplication on Textured Images Compression
- Acta Electronica Sinica Issue 4, (1998)
- 作者机构：
  
  西安交通大学信息工程研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.81
- Published：1998
- 稿件说明：
移动端阅览
[1]刘辉,谈正,张琪.树状小波分解及其在纹理图像压缩中的应用[J].电子学报,1998(04):84-87.

刘辉, 谈正, 张琪. Tree-Structured Wavelet Decomposition and ItsApplication on Textured Images Compression[J]. Acta Electronica Sinica, 1998, (4).
[1]刘辉,谈正,张琪.树状小波分解及其在纹理图像压缩中的应用[J].电子学报,1998(04):84-87. DOI：

刘辉, 谈正, 张琪. Tree-Structured Wavelet Decomposition and ItsApplication on Textured Images Compression[J]. Acta Electronica Sinica, 1998, (4). DOI：

本文提出一种基于树状小波分解的图像压缩算法，它在一定的能量准则下，能够自适应地根据图像特征进行子带分解和编码。对纹理图像压缩的实验结果表明，这种算法在压缩比、视觉特性及信噪比方面均具有令人满意的结果。因而，它对于基于边缘和纹理区域分别编码的第二代图像压缩方案具有重要的意义。

In this paper

we introduced an algorithm for image compression based on tree-structuredwavelet decomposition . Under some special energy rules

it can implement the subband coding according to theimage features adaptively.The experiments for textured images shou that

this method is outstanding at compres-sion ratio

visual effect and SNR. So

it is valuable to the second generation image compression schemes based on edge texture coding respectively.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Energy Decomposition Based Multiscale Approach to Image Texture

Related Author

张继贤

柳健

Related Institution

华中理工大学图像识别与人工智能研究所

⁰