基于维纳滤波的运动模糊消除算法 及其在航空成像系统中的应用

分析了航空成像系统运动模糊产生的机理,通过建立运动模糊数学模型,进行了消除运动模糊仿真实验。研究表明,由于成像系统与地面目标景物的相对运动,在目标图像上产生运动模糊,图像复原技术可以消除图像模糊。在图像复原技术中,点扩散函数(PSF)是影响图像恢复结果的关键因素,文中给出了估计点扩散函数的一般方法。虽然维纳滤波可以解决在逆滤波中H(u,v)零点噪声放大问题,但是在图像边缘附近误差较大。采用带最优窗的维纳滤波方法可有效抑制噪声和减小边缘误差。对实验平台获取的运动模糊图像进行实验,结果表明在图像边缘像素灰度平滑条件下,可以收到近乎完美的恢复效果。

Restoration of motion-blurred image based on Wiener filter and its application in aerial imaging system

The mechanism of generation of motion-blurred image was given.A mathematics model of motion-blurred image was built up.In addition,A procedure for estimating Point Spread Function(PSF) of motion-blurred was provided.The aerial vehicle platform and related system were quickly moving relative to ground target during the image data collection.The image might become blurred.The motion-blurred images could be restored using restoration of image.In restoration methods,Wiener filter is less sensitive to noise than inverse filter for the restoration of motion-blurred images,however,there is a large edge-error.This paper presents the optimal window technique for the restoration of motion-blurred images.With these optimal windows,near-perfect restorations can be obtained if the images vary gradually in intensity near their edge.