Have you tried conventional image registration techniques? One common process is to manually or automatically determine matching pairs of points in the image being adjusted and a reference image, and fit linear or low-order polynomials to map the coordinates of one to the other. I'd imagine that radial basis function neural networks would be quite good at making such a mapping.