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基于多小波域SOT结构的SAR图像去噪与压缩算法

SAR image denoising and compression algorithm based on spatial-orientated tree in multiwavelet domain
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摘要 合成孔径雷达(SAR)图像固有的相干斑噪声严重影响了SAR图像的判读和进一步压缩处理,提出一种在多小波域将空间方向树(SOT)去噪与压缩相结合的SAR图像压缩算法。首先利用SOT对高频子带的多小波系数进行软阈值去噪,滤除相干斑噪声;然后采用改进的多级树集合分裂(SPIHT)算法编码形成嵌入式码流。利用大量的机载SAR图像对该算法进行了仿真验证,实验结果表明采用该算法进行SAR图像压缩提高了重建图像的PSNR,同时对相干斑噪声进行了有效的抑制。 Speckle noise inherent in synthetic aperture radar（SAR） image severely decreases the image interpretation quality and affects further compression processing. This paper presented a new compression algorithm for SAR image based on spatialorientated tree（SOT） structure in multiwavelet domain combining with speckle nosing. At first utilized the SOT to normalize the muhiwavelet coefficients in high frequency band and removed the signal-dependence of the speckle noise. Then coded multiwavelet coefficients by modified set partitioning in hierarchical trees（SPIHT） algorithm to form embedded bit stream. Large numbers of airborne SAR images validated the efficiency of the proposed algorithm. The experimental results show this coding method achieves favorable peak signal to noise ratio（PSNR） and superior speckle noise reduction performances.
作者 王爱丽 张晔 杨明极
机构地区 哈尔滨理工大学测控技术与通信工程学院 哈尔滨工业大学信息工程系
出处 《计算机应用研究》 CSCD 北大核心 2008年第12期3680-3682,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(60472048,60402025) 哈尔滨理工大学校青年科学基金资助项目(2008XQ-JZ023)
关键词 图像压缩 多小波变换 空间树结构 多级树集合分裂 image compression multiwavelet transform spatial-orientated tree structure set partitioning in hierarchical trees
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献8

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二级参考文献19

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计算机应用研究
2008年 第12期

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