基于小波变换的SAR图像压缩算法研究  

SAR Image Compression Algorithm Based on Wavelet Transform

作　　者：李莎 黄琳[2] 周剑奇[3] 沈海阔[4] 

机构地区：[1]探月与航天工程中心,北京100037 [2]公安部第一研究所,北京100048 [3]北京航天测控技术有限公司 [4]北京交通大学,北京100044

出　　处：《计算机测量与控制》2012年第8期2310-2312,2316,共4页Computer Measurement &Control

摘　　要：针对合成孔径雷达(简称SAR)图像局部相关性较弱、对比度低、纹理丰富、难以保真压缩等特点,提出一种以小波变换为核心的图像压缩算法;文中重点介绍了编码器的预处理、离散小波变换、量化和熵编码等四个核心模块的实现过程;该研究课题应用该算法对某次航拍的实测数据进行压缩处理,并与标准JPEG压缩算法进行了效果对比,结果表明该算法具有高压缩比、低算法复杂度的优点,较适用于SAR图像的实时压缩与传输。For Synthetic Aperture Radar （referred to as SAR） images of local correlation is weak, low--contrast, rich texture, hard--to --fidelity compression and other features, this paper proposes a wavelet transform image compression algorithm. This paper focuses on the pretreatment of the encodcr, the four core modules of the discrete wavelet transform, quantization and entropy coding of the implementation process. This research topic to apply the algorithm to compress an aerial of the measured data, the effect of contrast with the standard JPEG compression algorithm, the results show that the algorithm has high compression ratio, low complexity of the algorithm the advantages, is more suitable for SAR images real--time compression and transmission.

关 键 词：SAR图像 小波变化 图像压缩算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]