摘要
提出了一种基于小波变换和快速矢量量化的InSAR图像压缩编码方法。在小波变换域内,根据InSAR图像的统计特征进行非线性量化后,再进行小波树快速矢量量化压缩编码;并应用门限技术抑制图像噪音。实验结果表明:该方法对InSAR图像压缩效果明显优于EZW和SPIHT方法。
A new image compression method for the interferometry synthetic aperture radar（InSAR） image based on of wavelet transform and fast VQ was presented. In the domain of wavelet transformation, data characteristics were applied to quantize data in no-linear mode. Then a fast coding method of wavelet tree-structure VQ was used to compress the InSAR data. With this method, non-linear VQ combined with the wavelet soft threshold technique can suppress noise in InSAR data definitely. Experiment results show that the presented compressing method is more efficient than twical EZW and SPIHT.
出处
《计算机应用》
CSCD
北大核心
2006年第5期1009-1011,共3页
journal of Computer Applications
基金
广东省教育厅高校自然科学基金资助项目(Z03094)
广东省东莞科技计划资助项目(2005)
关键词
小波变换
数据压缩
矢量量化
wavelet transformation
data compression
VQ（vector quantization）
