亚像元配准技术研究

为了获得高精度的图像运动参数估计,需要比较各种传统的图像配准算法的优劣并改进它们以满足需求.为此综述超分辨率重建中的图像配准算法,指出各种配准算法的特性,同时结合实验分析了不同的配准算法进行运动参数估计时的精度.提出基于遗传算法的亚像元参数估计方法,数值实验结果表明了该方法的有效性,同时对图像配准参数估计算法对噪声干扰的稳健性通过实验进行了讨论.

Study of sub-pixel registration techniques

To achieve high precisions of dynamic parameter estimates, main traditional image registration methods would be compared and improved. Therefore, algorithms on the super resolution image reconstruction technique are summarized, to point out characteristics in each algorithm, and precisions of dynamic parameter estimates of some different image registration algorithms are analyses by experiments. Then, a new way based on the genetic algorithm to estimate the sub-pixel registration parameters is presented. Some numerical experiments are made to test the performance of these methods. At same time, the robust to noise in the images of these algorithms are discussed.