Simultaneous Speckle Reduction and SAR Image Compression Using Multiwavelet Transform  

作　　者：Ai-Li Wang Ye Zhang Yan-Feng Gu 

机构地区：[1]Department of Electronics and Communication Engineering, Harbin Institute of Technology, Harbin,150001, China

出　　处：《Journal of Electronic Science and Technology of China》2007年第2期163-166,共4页中国电子科技（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China under Grant No. 60472048.

摘　　要：Synthetic aperture radar （SAR） images are corrupted by multiplicative speckle noise which limits the performance of the classical coder/decoder algorithm in spatial domain. The relatively new transform of multiwavelets can possess desirable features simultaneously, such as orthogonality and symmetry, while scalar wavelets cannot. In this paper we propose a compression scheme combining with speckle noise reduction within the multiwavelet framework. Compared with classical set partitioning in hierarchical trees （SPIHT） algorithm, our method achieves favorable peak signal to noise ratio （PSNR） and superior speckle noise reduction performances.Synthetic aperture radar （SAR） images are corrupted by multiplicative speckle noise which limits the performance of the classical coder/decoder algorithm in spatial domain. The relatively new transform of multiwavelets can possess desirable features simultaneously, such as orthogonality and symmetry, while scalar wavelets cannot. In this paper we propose a compression scheme combining with speckle noise reduction within the multiwavelet framework. Compared with classical set partitioning in hierarchical trees （SPIHT） algorithm, our method achieves favorable peak signal to noise ratio （PSNR） and superior speckle noise reduction performances.

关 键 词：Syntheticaperture radar （SAR） image compression MULTIWAVELETS speckle noise reduction set partitioning in hierarchical trees （SPIHT）. 

分 类 号：TN957.52[电子电信—信号与信息处理]