Description:
In this paper, we propose an improved interpolation method with sub-pixel relocation method to correct fisheye images with strong barrel distortion. The proposed method takes as inputs the fisheye image and the projection model, and outputs the corrected perspective image. In the method, we project the fisheye image pixels to perspective image plane using the backward projection. The projected pixels are treated as scatter data and their location is refined by the sub-pixel relocation method. The method is designed to aim at the subpixel bias phenomenon of the projected pixels.The sub-pixel relocation method relocates the projected pixel centers to the centers of the projected pixels. Then the relocated points are meshed by the Voronoi diagram method to select the neighbors of the interpolation points. The weights of the neighbors are calculated using the inverse distance method. The index of the neighbor and their weights are stored in a look-up-table structure for reutilization. For each fisheye image, the proposed method can quickly find the neighbors of the interpolation points and the weight of each neighbor through the look-up-table. Test results illustrate that the proposed method achieves the best accuracy among the tested method for fisheye images with strong barrel distortion