关键词: 通信技术, 图像压缩, 多小波变换, 预滤波, 合成孔径雷达

Abstract: In the real domain, the finitely supported, orthogonal, symmetric nontrivial scalar wavelet bases do not exist, while the multiwavelet offers the finite support, symmetry, orthogonality simultaneously. As a result, the wavelet theory is extended to vector field. A technique for compressing synthetic aperture radar (SAR) image data using multiwavelet transform and prefilter methods is considered. The experiment results show that we can get comparative or superior performance after replacing the wavelet by multiwavelet using modified set partitioning in hierarchical trees (SPIHT) algorithm designed for wavelet. So combining with the characteristic of multiwavelet coefficients and designing corresponding coding method, multiwavelet transform is of great potential for SAR image compression application.

Key words: communication, image compression, multiwavelet transform, prefilter, synthetic aperture radar(SAR)