基于双三次插值的鱼眼图像校正

Implementation of Fish Eye Image Correction Based on Bicubic Interpolation

通过标定板对鱼眼镜头成像模型参数进行标定,建立了特定鱼眼镜头图像校正模型,并应用该模型对鱼眼图像进行校正.利用双三次插值方法对鱼眼图像非特征点进行插值,校正效果良好,解决了鱼眼镜头所成影像的畸变问题,能较好地应用于视觉导航与监控领域.具体做法是:(1)利用自制的平面标定板标定鱼眼图像;(2)通过标定之后的镜头畸变参数,利用双三次插值算法将畸变的鱼眼图像还原为满足人眼视觉效果的透视图像.

firstly,the parameters of fisheye lens imaging model are calibrated by the calibration board,specific fisheye lens image distortion correction model is established,and then the fisheye image is corrected by using the model.Secondly,the non feature points are interpolated by bicubic interpolation method,and good correction effect is achieved.Bicubic interpolation algorithm can solve the problem of image distortion caused by fish eye lens,and has a good application prospect in the field of vision navigation and monitoring.The main research steps are as follows:(1)calibrate the fisheye image with a self-made planar calibration plate;(2)restore the distorted fisheye image to the perspective image satisfying the visual effect of human eyes by using the calibrated lens distortion parameters.