Fast cross-spectral image registration using new robust correlation
In this paper, we explore a new correlation technique for cross-spectral image registration. The proposed technique matches the orientation feature of the second derivatives while making use of a statistical robust M estimator. Furthermore, it takes advantage of Fourier and multi-resolution techniques to reduce the complexity of spatial correlation. Simulation results show that our proposed approach gives more accurate results than the mutual information, and the normalized cross-correlation with prefiltering in terms of speed and accuracy.
image registration robustness correlation mutual information fft