针对鱼眼图像边缘校正缺失的快速校正算法

针对鱼眼图像校正中水平方向畸变以及边缘缺失的问题,通过引入可控参数控制边缘部分的校正范围,同时融合三角计算以及参数变换,获取校正关系,使映射面与鱼眼图像达到最佳匹配结果.获取校正关系后运用双线性插值算法对校正图像进行插值运算以填充图像.实验表明,算法对视图主要区域和边缘部分畸变的校正取得较好效果,边缘部分信息流失较少,主视图区域畸变角度明显减小,校正后图像与未畸变源图像相比结构相似性高,尽可能大的保留鱼眼图像信息,算法效率提高,算法运行时间缩短近50%.该鱼眼图像校正算法在校正效率以及校正效果上都有显著提高,具有可行性和有效性.

Fast Correction Algorithm for Missing Fisheye Image Edge Correction

Aiming at the problems of horizontal distortion and missing edges in fisheye image correction,controllable parameters are introduced to control the correction range of the edge part,while triangulation calculation and parameter transformation are combined to obtain the correction relationship, so that the mapping surface and the fisheye image reach the maximum.Best match results.After obtaining the correction relationship,a bilinear interpolation algorithm is used to interpolate the corrected image to fill the image.Experiments show that the algorithm achieves better results in correcting the distortion of the main area and edge parts of the view,with less loss of information in the edge parts,and the distortion angle of the main view area is significantly reduced.The structural similarity between the corrected image and the undistorted source image is high.The fisheye image information is kept as large as possible,the algorithm efficiency is improved,and the algorithm running time is shortened by nearly 50%.The fisheye image correction algorithm has significantly improved the correction efficiency and the correction effect,and is feasible and effective.