SPIHT图像压缩算法在防空武器系统中的应用

Application of SPIHT Image Compression Algorithm in Air-defense Weapon System

恶劣战场环境下无线图像传输易受海杂波和恶劣天气的影响,难以满足用于战场环境监测的图像实时传输,针对该问题本文提出将SPIHT图像压缩算法应用于防空武器系统,并以红外图像压缩为例仿真验证了算法的有效性。通过对红外图像进行压缩,生成压缩码流以传输压缩码流的方式来间接提升图像传输的数据率。仿真分析结果表明:在红外图像为256×256的8位灰度图像的条件下,红外图像的无损压缩比为3倍左右;在不影响视觉效果的前提下,红外图像的有损压缩比最高可达32倍左右。研究成果可为防空武器系统红外导引头图像压缩无线传输的工程实现提供理论依据。

For the problem of wireless communication performance reduction due to sea clutter and severe weather encountered in real time images transfer used for battlefield environment monitoring,SPIHT image Compression Algorithm based on wavelets is presented in this paper for the application in air-defense weapon system,using simulation to verify the effectiveness of this algorithm.Compression code stream from infrared seeker images can be generated by image compression for transfer substitution to improve image transfer rate.Simulation result shows that lossless compression ratio is 3 and loss compression ratio could be 32 for 256×256 8 bits gray level infrared image without visual effect reduction.The research achievement can provide theoretical basis for air-defense infrared seeker image compression transfer implementation.