基于MTF的红外遥感图像复原  

Infrared Remote Sensing Image Restoration Based on MTF

作　　者：胡涛[1,2] 张冬冬[1] 

机构地区：[1]中国科学院上海技术物理研究所,上海200083 [2]中国科学院大学,北京100049

出　　处：《光学与光电技术》2016年第5期48-52,共5页Optics & Optoelectronic Technology

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.

关 键 词：调制传递函数 刃边法 灰度值 滤波 图像复原 

分 类 号：TN911.73[电子电信—通信与信息系统]