An algorithm for SAR image embedded compression based on wavelet transform

被引：0

作者：

Kun, Li ^{[1
]}

Shuang, Wang ^{[1
]}

Biao, Hou ^{[1
]}

Licheng, Jiao ^{[1
]}

机构：

[1] Xidian Univ, Inst Intelligent Informat Proc, Xian, Peoples R China

来源：

SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 1, PROCEEDINGS | 2007年

关键词：

synthetic aperture radar; discrete wavelet transform; image embedded compression; image denoise;

D O I：

10.1109/SNPD.2007.45

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Synthetic Aperture Radar (SAR) image compression is important in image transmission and archiving. In this paper, SAR image compression using embedded Zerotree wavelets algorithm, based on discrete wavelet transform (DWT), is researched. Aiming at special characteristics of SAR image such as speckle noise, the author added a denoise step in the flow of compression, trying to do some meaningful attempt in SAR image compression. Experiments carried out show that the improvement can reduce the speckle noise and improve the computation precision and time.

引用

页码：374 / +

页数：2

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