基于改进SPIHT算法的SAR图像压缩

摘要

Wavelet transform and SPIHT has achieved a perfect effect on SAR ( synthetic aperture radar) image compression, but the complexity of SPIHT limits the encoding rate. Considesing slow coding rate and large memory consuming of SPIHT, we propose a modified listless SPIHT in order to speed up the coding rate. The experiments show that this new method can achieve the same compression effect as SPIHT while has a far faster rate than the original one. So it is suitable for real-time application.%小波变换和多级树集合分裂算法( SPIHT)在合成孔径雷达(SAR)图像压缩方面取得了良好的效果,但SPIHT编码方法的复杂性制约了压缩速率的提高.针对SPIHT编码速度慢和占用内存大的问题,提出一种改进的无链表SPIHT算法,以提高编码运算速度,减少资源占用量,使其适于硬件实现.实验结果表明,该方法能达到与原算法相同的压缩效果,而运算速度大大提高,适于实时实现.