Fish-eye distortion correction based on midpoint circle algorithm

This paper presents a novel embedded real-time fisheye image distortion correction algorithm with application in IP network camera. A fast and simple distortion correction method is introduced based on Midpoint Circle Algorithm (MCA) which aims to determine the pixel positions along a circle circumference based on incremental calculation of decision parameters. Although only the vertical is rectilinearised, experimental results show that our correction method based on MCA is efficient and effective. In particular, our method can be applied without considering planar checkerboard, iterative fitting of model parameters, complex computation, or traditional lookup tables. Therefore, our algorithm is suitable for embedded camera platform without any extra hardware resources.