Multiresolution registration of visible and infrared imagery by maximization of mutual information

We introduce a novel visible/infrared image registration algorithm based on wavelet transform and the maximization of mutual information of images. First, the region of interest (ROI) is determined by searching for the wavelet magnitude maxima in the preprocessing step, and the affine transform is chosen as the image geometrical transform model. Then, the probability density function of grey values is estimated from histogram by means of the Partial Volume (PV) interpolation method. Finally, the simulated annealing algorithm is used to approximate the global optimum. The experimental results show that the algorithm is efficient.