用整数小波变换进行无失真SAR图像压缩

王祖林; 周荫清

用整数小波变换进行无失真SAR图像压缩

北京航空航天大学电子工程系

详细信息

作者简介:
王祖林(1965-),男,湖北潜江人,副教授,100083,北京.

中图分类号: TN 91981
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- 文章访问数: 2332
- HTML全文浏览量: 23
- PDF下载量: 1122
- 被引次数: 0
出版历程
- 收稿日期: 1998-11-24
- 网络出版日期: 2000-03-31

Lossless SAR Image Compression Using Integer to Integer Wavelet Transform

Beijing University of Aeronautics and Astronautics,Dept. of Electronic Engineering

摘要

摘要: 介绍了利用提升方案(lifting scheme)构造小波变换的3个主要优点,给出了几个整数到整数可逆小波变换对,讨论了SAR图像的特点,提出了一种利用整数到整数小波变换进行无失真SAR图像压缩的方法.该方法具有速度快、可进行同址运算和能进行分级传输等特点.比较了对ERS-1单视SAR图像和IEEE标准测试图的压缩结果,表明性能要略优于DPCM(Differential Pulse Code Modulation)方法,且只须对单视SAR图像作一级小波分解,分解级数增加会使压缩效果变差.
- 合成孔径雷达 /
- 数据压缩 /
- 图像编码 /
- 无失真图像压缩 /
- 小波变换
Abstract: Three advantages of wavelet transform constructed with lifting scheme are introduced and then invertible wavelet transform pairs of several integer to integer have been given. After discussed the features of SAR image, a method for lossless compression of SAR image by means of integer to integer wavelet transform has been presented. The advantages of the method are fast in-place calculation and progressive transfer. The experimental results for ERS-1 single-look SAR images and IEEE standard images show that the method is slightly better than DPCM, and only one decomposition level is needed to compress SAR image and more levels are not necessary.
- synthetic aperture radar /
- data compression /
- picture coding /
- lossless image compression /
- wavelet transform

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参考文献(1)

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