Fast image registration via joint gradient maximization: application to multi-modal data

We present a computationally inexpensive method for multi-modal image registration. Our approach employs a joint gradient similarity function that is applied only to a set high spatial gradient pixels. We obtain motion parameters by maximizing the similarity function by gradient ascent method, which secures a fast convergence. We apply our technique to the task of affine model based registration of 2D images which undergo large rigit motion, and show promising results. SPIE Conference Electro-Optical and Infrared System