Application on SA4 Multiwavelet Packet in CFA Image Compression

郑静; 张起贵; 梁晓刚

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Application on SA4 Multiwavelet Packet in CFA Image Compression

更新时间：2026-09-14

- Application on SA4 Multiwavelet Packet in CFA Image Compression
- SA4多小波包在CFA图像压缩中的应用
- Vol. 32, Issue 6, Pages: 746-750(2011)
- 作者机构：
  
  1. 山西职业技术学院计算机工程系
  2. 太原理工大学信息工程学院,山西,太原,030024
  3. 北方自动控制技术研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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郑静, 张起贵, 梁晓刚. Application on SA4 Multiwavelet Packet in CFA Image Compression[J]. 2011, 32(6): 746-750.
DOI：

郑静, 张起贵, 梁晓刚. Application on SA4 Multiwavelet Packet in CFA Image Compression[J]. 2011, 32(6): 746-750. DOI：

摘要

针对CFA图像高频分量多

不利于压缩

采用多小波包变换有效去掉了CFA图像频带间的相关性.根据SA4多小波分解后图像子带的特点

找出适合SA4多小波包变换的预滤波系数结构

利用子带间的相关性系数重组

使之更适合零树编码

提高了编码效率.仿真结果表明:新算法相比JPEG2000有更好的性能

复杂度低

计算量小

便于应用.

Abstract

CFA image is difficult to compress because of many high frequency components.Balanced multiwavelet packet transforms effectively remove CFA image correlation between frequency bands.It adopts new prefilter structure for multiwavelet packet transforms according to characteristic of image subbands after SA4 one-level decomposition.Wavelet coefficients shuffling exploring subband correlation makes it suitable for zerotree coding to improve compression efficiency.The simulation results showed that the proposed compression scheme had better performance compared with JPEG2000 and featured low complexity

small amount of computation

and easy application.

关键词

Keywords

references

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