舰船尾迹图像自适应消噪方法研究

Research on adaptive noise elimination method of ship wake image

普通船舶尾迹图像中噪点所占比重过大,常导致图像失真现象的发生。为解决此问题,提出基于船舶尾迹图像的新型自适应消噪方法。通过航向参数估算、航速参数估算2个步骤,完成基于尾迹图像的船舶参数估算。通过时域图像的自适应消噪、邻域图像的自适应消噪、消噪可信比的确定3个步骤,完成新型自适应消噪方法的搭建。模拟方法运行环境,设计对比实验结果表明,应用新型消噪方法后的船舶尾迹图像中,噪点所占比重得到有效控制,图像失真现象的发生几率,也随之大幅下降。

The ordinary ship wake image noise is too large proportion, often lead to image distortion phenomenon. To solve this problem, a new adaptive denoising method based on ship wake image is proposed. Two steps of parameter estimation and speed parameter estimation are used to complete ship parameter estimation based on wake image. The new adaptive denoising method is built by three steps, which are adaptive denoising of time domain image, adaptive denoising of neighborhood image, and determination of the confidence ratio of de-noising. The experimental results show that the proportion of the noise in the wake of the ship's wake image is effectively controlled, and the probability of the image distortion is reduced greatly.