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基于改进SPIHT算法的SAR图像压缩
作者姓名:王璐  张志敏
作者单位:1. 中国科学院电子学研究所, 北京 100190; 2. 中国科学院研究生院, 北京 100049
基金项目:中国科学院百人计划项目(6059-07)资助
摘    要: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.

关 键 词:合成孔径雷达    图像压缩    嵌入式编码    无链表SPIHT
收稿时间:2011-01-19
修稿时间:2011-03-10

SAR image compression based on modified SPIHT
Authors:WANG Lu  ZHANG Zhi-Min
Institution:1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China
Abstract: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.
Keywords:synthetic aperture radar (SAR)                                                                                                                        image compression                                                                                                                        embedded coding                                                                                                                        listless SPIHT
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