摘要
在红外遥感图像复原过程中,一般是采用刃边法获得调制传递函数的。然而,该方法存在图像刃边位置难以确定,以及提取的像素点较少等缺点。为了解决上述问题,实验设计了一种新的调制传递函数测量方法,通过直接移动刃边来观察一个像素点在刃边附近灰度值的变化情况,然后对这些数据点依次进行拟合、微分、傅里叶变换等步骤就得到系统的调制传递函数,最后,用逆滤波和维纳滤波进行图像复原。实验结果表明,通过该方法得到MTF后进行图像复原效果较好。
In the process of infrared remote sensing image restoration,the knife-edge method is used to obtain the MTF.However,the drawbacks of this method are difficult to determine the edge position of image and extraction pixel may be little,etc.A new method of measuring MTF is presented by moving edge to observe the change of gray value of a pixel point which nearby the edge.Then by fitting these data points,differential,and Fourier transform,the system＇s MTF are obtained.At last,the inverse filter and Wiener filter are used for image restoration.The test results show that by using the obtained MTF,the good image restoration effects are obtained.
出处
《光学与光电技术》
2016年第5期48-52,共5页
Optics & Optoelectronic Technology
关键词
调制传递函数
刃边法
灰度值
滤波
图像复原
modulation transfer function
knife-edge method
gray value
wave filtering
image restoration
