A distortion correction algorithm for fish-eye panoramic image of master-slave camera

The Master-Slave camera that composed of a fish-eye panoramic camera and a PTZ dome camera has been applied in many fields. Since the fish-eye panoramic camera´s incline towards the gravity direction in Master-Slave camera system, the captured panoramic image has obvious horizontal distortion. In order to correct this particular type of distortion, a distortion correction method is proposed based on Midpoint Circle Algorithm (MCA). This method aims to determine the pixel positions along a circle circumference based on incremental calculation of decision parameters, and both of the vertical and horizontal are rectilinearised. Experimental results demonstrate that the proposed distortion correction method is efficient and effective. The proposed algorithm can be applied on embedded camera platform without any extra hardware resources due to its low computational cost.