A New Approach for Low-resolution Image Registration Based on Weighted MI and Powell
Shuping Zhang · IOP Conference Series Materials Science and Engineering · 2018
Mutual information (MI) has been successfully applied to the registration of medical imagery and SR reconstruction because of its robustness. However, it also has obvious drawbacks that it is susceptible to local minima. For this purpose, an image registration scheme based on weighted mutual information is proposed in this paper. By introducing a reasonable weight coefficient, the gray-levels can exert greater impact on computation of entropy. And then, the weighted mutual information (WMI) which is designed as a new similarity measure is exploited by the Powell optimizer to refine the preregistration results. The experimental results suggest that the proposed algorithm has strong robustness and adaptive capacity for noise, and is convergent and efficient in resolving the given test problems.