基于MIF滤波的卫星颤振图像恢复研究

Satellite Micro-vibration Image Restoration Based on MIF Filter

卫星颤振会导致成像系统成像质量下降,图像呈现出模糊、错位等现象。传统的图像处理算法可以在一定程度上恢复颤振图像,但是无法补偿成像系统调制传递函数(Modulation Transfer Function,简称MTF)。本文提出基于图像分析计算二维MTF,采用基于MTF的改进逆滤波器(Modified Inverse Filter,简称MIF)对卫星颤振图像进行恢复。结果表明,基于MIF的卫星颤振图像恢复较Wiener滤波法更好。

Decline of Modulation Transfer in imaging system caused by Satellite vibrations shows smears and dispositions on image.Traditional image processing algorithms can restore vibration image,but cannot compensate image MTF.In this paper,we propose vibration images of satellites restored by MIF filter based on MTF,which can be calculated by image analysis.Firstly,we simulate the IKONOS vibration images,then calculate the 2-dimensional MTF of images.Wiener filter and MIF filter are used to restore the vibration images.The experimental results prove the effectiveness of the proposed method.