激光成像跟踪系统的图像噪声抑制分析
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摘要
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.
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.
引文
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[16]张元科,张军英,卢虹冰.低剂量CT投影图像噪声分析及去噪算法研究[J].光电子·激光,2010,21(7):1073-1708.
[2]努尔买买提,徐天翔,陈立功,等.基于半导体光放大器的全光信号处理研究进展[J].激光杂志,2012,32(3):80-82.
[3]Yu Shuang,Zhao Yanzheng.Study on rotational stabilization in alaser tracking system[J].Journal of Shanghai Jiaotong University(Science),2009,14(3):316-320.
[4]Lee J S,Wen J H,Ainsworth T L.Improved sigma filter for speckle filtering of SAR imagery[J].IEEE Transactions on Geo-Science and Remote Sensing,2008,47(1):202-213.
[5]吴从均,颜昌翔,高志良.空间激光通信发展概述[J].中国光学,2013,6(5):670-679.
[6]倪飞,邓兴成,李贤.空间光通信ATP系统中光信号处理技术研究[J].激光杂志,2000,21(4):28-30.
[7]杨露,苏秀琴,陆陶,等.基于Contourlet变换和形态学的图像去噪方法[J].光电子·激光,2008,19(11):1558-1560.
[8]张瞳,朱虹,张然,等.复小波域维纳滤波与偏微分扩散相结合的图像去噪方法[J].中国图象图形学报,2009,14(5):848-852.
[9]倪飞,邓兴成,李贤.空间光通信ATP系统中光信号处理技术研究[J].中国激光,2011,38(1):28-30.
[10]郭冠军,邵芸.地面对激光雷达信号散射的统计研究[J].物理学报,2002,51(2):228-234.
[11]李凯,张青川.基于Gabor滤波的散斑条纹图平滑方法[J].光学学报,2009,29(10):2751-2755
[12]李自勤,王潜.边缘相似度及其在散斑噪声抑制算法比较中的应用[J].中国激光,2006,33(5):655-658.
[13]刘哲.基于非下采样轮廓小波变换的图像去噪[J].光电子·激光,2009,20(7):954-958.
[14]董吉辉,胡企铨,孙东松.空间激光成像跟踪系统中的图像噪声抑制技术[J].中国激光,2011,38(1):9002-9007.
[15]将立辉,赵春晖,王骐.相干激光雷达图像散斑噪声抑制算法[J].光学学报,2003,23(5):541-546.
[16]张元科,张军英,卢虹冰.低剂量CT投影图像噪声分析及去噪算法研究[J].光电子·激光,2010,21(7):1073-1708.