基于小波变换的干涉图压缩算法

在研究小波变换和分层树集合分割排序算法的基础上,将小波图像压缩技术应用于干涉图的压缩.根据小波分解系数矩阵中高频子图像上数据接近于零,信息主要表现部分在低频子图像上,以及干涉图数据中主要信息集中在零光程差附近的特征,将干涉图一行数据拆开并按对角Z型排列存储为矩阵形式,再进行小波压缩.结果表明,此改进能提高压缩性能.

Interferogram Compression Based on Wavelet Transform

Based on the research of wavelet transform and SPIHT(Set Partitioning in Hierarchical Trees algorithm,wavelet image compression technology is introduced to compress interferogram.In addition,in the wavelet decomposition coefficient matrix,high-frequency image data are close to zero,the information is mainly manifested in the part of the low-frequency image,and the mainly information storage is close to zero optical path difference in the interferogram.A row of interferogram data is disconneted and the data are stored with Z-storage array to the matrix form,which is compressed with wavelet algorithm.The research results show that the improvement can raise compression performance.