Wavelet transform characteristics and compression coding of remote sensing images

ZHAO Jie-hong; SUN Wen-jun; MENG Zhong; HAO Zhi-hang

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Wavelet transform characteristics and compression coding of remote sensing images

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- Wavelet transform characteristics and compression coding of remote sensing images
- Optics and Precision Engineering Vol. 12, Issue 2, Pages: 205-210(2004)
- 作者机构：
  
  1. 长春工程学院信息工程系,吉林长春,130021
  2. 中国科学院, 长春光学精密机械与物理研究所,吉林长春,130033
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP751
- Received：29 November 2003，
  
  Revised：26 January 2004，
  
  Published Online：15 April 2004，
  
  Published：15 April 2004
- 稿件说明：
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赵洁红, 孙文军, 孟忠, 郝志航. CCD遥感图像的小波分解特性及编码压缩[J]. 光学精密工程, 2004,(2): 205-210

ZHAO Jie-hong, SUN Wen-jun, MENG Zhong, HAO Zhi-hang. Wavelet transform characteristics and compression coding of remote sensing images[J]. Editorial Office of Optics and Precision Engineering, 2004,(2): 205-210
赵洁红, 孙文军, 孟忠, 郝志航. CCD遥感图像的小波分解特性及编码压缩[J]. 光学精密工程, 2004,(2): 205-210 DOI：

ZHAO Jie-hong, SUN Wen-jun, MENG Zhong, HAO Zhi-hang. Wavelet transform characteristics and compression coding of remote sensing images[J]. Editorial Office of Optics and Precision Engineering, 2004,(2): 205-210 DOI：

摘要

研究了遥感图像的小波变换系数统计特性及小波系数的相关性.通过试验得出小波变换系数分布的一般规律和遥感图像基本特征

即数据的局部相关性弱、纹理丰富复杂和低冗余度

不利于高保真压缩

而遥感图像的小波变换系数却具有很强的局部相关性.提出了插分预测编码(DPCM)与集合树多级分裂(SPIHT)算法相结合的遥感图像小波编码算法

用该算法对CCD采集的遥感图像进行了3级小波分解和重构

并与EZW算法、SPIHT算法进行了比较.结果表明

算法所得的遥感图像没有方块效应

图像恢复质量较高

在相同压缩比和比特率低的情况下

明显优于其他两种算法.

Abstract

The statistical characteristics of remote sensing image are studied by using wavelet transform and presented definition of similarity for wavelet coefficient. The general distribution rule of wavelet transform coefficient and basic characteristics of remote sensing images

such as lesser similarity

complicated and abundant texture

lesser redundancy degree

are indicated by experiments

which are not beneficial to compression in high fidelity. The wavelet transform coefficient of remote sensing image has stronger local similarity

hereby a version of combining of DPCM with SPIHT is presented. The experimental results show that the new compression scheme performs better than SPIHT arithmetic in terms of image reconstruction quality and encoding/decoding speed.

关键词

Keywords

references

PEAELMAN W A.A new,fast,and efficient image code based on set partitioning in hierarchicai trees[J] .IEEE Trans Circuits Syst Video Technology,1996,6(6):243-250.

SHAPIRO J M.Embedded image coding using zerotree 0f wavelet coefficients[J] .IEEE Trans Signal Processing,1993,41(12):3445-3462.

侯阳.数据压缩及C语言实例[M] .北京:北京邮电学院出版社,1994.HOU Y. Data compression and C language [M] . College Publishing House, 1994.(in Chinese)

谢成俊.小渡分析方法在数据压缩中的应用[D] .长春:中国科学院长春光机与物理研究所博士论文,2002.XIE CH J. Application of wavelet anlaysis in data compression[D] . Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences,2002.(in Chinese)

张宗平,刘贵忠.基于小波的视频图像压缩研究进展[J] .电子学报,2002,6(6):883-889.ZHANG Z P, LIU G ZH. Research progress in wavelet-based video image compression[J] . Acta Electronic Sinica,2002,6(6): 883-889.(in Chinese)

黄贤武.一种改进的基于人眼视觉特性的零树图像编码算法[J] .计算机研究与发展,2001,38(8):977-981.HUANG X W. An enhanced image coding algorithm based HVS and zerotrees[J] . Journal of Computer Research and Development, 2001,38(8)..977-981.(in Chinese)

王沛.基于小波变换的图像自适应盲水印算法[J] .光学精密工程,2002,10(3):247-252.WANG P. Adaptive blind watermarking algorithm based on wavelet transform [J] . Optics and Precision Engineering, 2002,10(3).. 247-252.(in Chinese)

ZANDI A, ALLEN J, SCHWARTZ E, et al. CREW: Compression with reversible embedded wavelets[C] . IEEE Data Cormpression Conference, Snowbird, UT, 1995.212-221.

杨长生.图像与声音压缩技术[M] .浙江:浙江大学出版社,2000.YANG CH SH. Image and sound compression technology[M] . Zhejiang: Publishing House of Zhejiang University,2000.(in Chinese)

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