一种易于硬件实现的星上遥感图像实时压缩算法

A Real-Time Compression Method for Satellite Hardware Implementation

提出了一种易于硬件实现的星上遥感图像实时压缩算法,在分析了线性预测器和非线性预测器设计方法的基础上,提出了一种线性预测与非线性预测相结合的预测方法,该算法实现简单;为了验证算法的性能,利用文章算法,对获取的遥感图像进行了试验验证,无损压缩时,压缩比达到1.9;2倍压缩时,PSNR达85dB以上,满足星上压缩要求;结果表明,算法易于硬件实现,适用于星上遥感图像实时压缩。

A real--time compression method for satellite hardware implementation was proposed. On the base of linear prediction and non --linear prediction, a method of linear prediction combine with non--linear was proposed, the method was brief. In order to validate the arithmetic＇s performance, the experiment with remote--sensing image was performed. Experimental results indicate that compression ratio is 1. 9 in Iossless compression; PSNR is bigger than 85dB in 2 times compression, that meets the satellite request. The proposed algorithm is suited to satellite real--time compression.