摘要
为了有效地传输和存储云粒子图像数据,通过对无损游程编码原理的研究,并结合云粒子测量系统中云粒子采集原理和信号传输协议,提出了一种改进RLE算法;通过C语言对该算法的压缩效率进行仿真,结果显示改进后的RLE算法较改进前算法的压缩效率提高了约25%;该算法分别在云粒子测量系统中的下位机和上位机实现云粒子数据的压缩与解压缩得到应用,实践证明,针对云粒子测量系统的改进RLE算法有效可靠。
In order to effectively transfer and store cloud particle image data, this paper presents an improved RLE algorithm by studying lossless run-- length coding theory and combining with cloud particle collection principle and signal transport protocol. Through the C simula- tion, it shows that the algorithm obtains higher compression efficiency than past algorithm, the data compression efficiency increases about 25 %. This algorithm is used for data compression on target and data decompression on host computer. Practice proves the algorithm is effi- cient and reliable for cloud particle measurement system.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第11期3029-3031,共3页
Computer Measurement &Control
基金
科技部行业专项(气象)(GYHY200806015)
关键词
压缩
解压缩
RLE
测量
云粒子
compression
decompression
RLE
measurement
cloud particle
