摘要
针对固体火箭发动机(SRM)地面试验图像受烟雾干扰严重,在SRM地面试验图像预处理中,烟雾去除研究非常重要。首先从频域滤波法进行了探讨,然后根据小波变换能兼顾空频域和多分辨率分析的特性提出了一种基于小波变换的图像烟雾去除方法。实验结果表明,所提出的基于小波变换的方法对SRM地面试验图像的烟雾去除更有效。
According to the case that the smog severely disturbs the SRM ground test image, the smog removing is very important in the SRM ground test image preprocessing. This paper firstly discusses smog removing in the frequency domain, and then proposes a novel smog removing method based on the Wavelet Transform on account of the multi-resolution and space-frequency nature of the Wavelet Transform. Experimental results show that this strategy is effective on the SRM ground test images smog removing.
出处
《系统仿真学报》
EI
CAS
CSCD
2004年第11期2490-2492,共3页
Journal of System Simulation
