激光成像跟踪系统的图像噪声抑制分析

Image Noise Suppression Analysis for Imaging Tracking System of Space Laser

激光成像跟踪系统是一种重要的空间目标定位技术,为了抑制噪声干扰,提高激光成像空间目标跟踪精度,提出一种Tetrolet变换的空间激光成像跟踪系统图像噪声抑制方法。首先对激光成像跟踪系统图像进行Tetrolet分解,得到不同频率的子图像,然后自适应阈值算法对低频子图像进行去噪,采用维纳滤波器对高频子图像进行噪声抑制,最后对去噪后子频图像进行重构,并进行仿真实验。结果表明,本文方法可以有效抑制激光成像跟踪系统图像的噪声,重构图像质量要优于其它方法,为后续的图像处理提供了必要的条件。

Laser imaging tracking system is an important technique of spatial object localization. In order to suppress noise,it improves the target tracking accuracy of laser imaging space,which is an image noise suppression method based on Tetrolet for space laser imaging tracking system is proposed. Firstly,image of laser imaging tracking system is decomposed by Tetrolet,and sub-images of different frequency are obtained. Secondly,adaptive threshold algorithm is used to deal with the low frequency sub-image,and the Wiener filter is used to suppress the noise. Finally,the denoised sub- images are reconstructed,and the simulation experiment is carried out. The results show that the proposed method can effectively suppress the noise of image tracking system,the reconstructed image quality is better than other methods,which provides the necessary conditions for the subsequent image processing.