针对鱼眼图像边缘校正失真的快速校正算法

Fast correction algorithm for edge distortion of fisheye image

针对现有鱼眼图像畸变校正算法校正后图像边缘区域存在失真的问题,在经度校正算法的基础上引入拉伸因子设计一种快速校正算法。首先利用快速扫描方法提取图像有效区域,得到畸变图像有效区域半径及圆心,其次在鱼眼图像畸变模型和径向畸变原理的基础上,确定畸变校正拉伸因子,然后分别在经度和纬度方向上增加拉伸因子进行校正,最终将校正结果与经度校正算法、经纬校正算法、双经度算法和重定心校正算法进行比较。结果表明,该算法能有效改善图片边缘的失真现象,且校正效率相比其它算法均有明显提高。综上所述,本文提出的算法能够快速有效地对鱼眼图像进行高质量的校正,为畸变校正质量提升相关研究提供借鉴。

Aiming at the problem of distortion in the edge region of the existing fish-eye image distortion correction algorithm, a fast correction algorithm is designed by introducing the stretching factor based on the longitude correction algorithm. Firstly, the effective area of the image is extracted by the fast scanning method to obtain the radius and center of the effective area of the distorted image. Secondly, based on the fish-eye image distortion model and the radial distortion principle, the distortion correction stretching factor is determined, and then the stretching factor is added in the longitude and latitude directions for correction. Finally, the correction results are compared with the longitude correction algorithm, longitude and latitude correction algorithm, double longitude algorithm and the recentering correction algorithm. The results show that the algorithm can effectively improve the distortion of image edge, and the correction efficiency is significantly improved compared with other algorithms. In conclusion, the algorithm proposed in this paper can quickly and effectively correct the fish-eye image with high quality, and provide reference for the research on improving the quality of distortion correction.