一种运动模糊图像的鲁棒运动估计策略

A ROBUST MOTION ESTIMATION STRATEGY FOR MOTION BLURRED IMAGE

研究运动模糊图像的运动估计问题,提出基于泊松融合技术的运动估计策略。该策略将运动模型作为泊松融合技术的局部约束,实现最优运动求解。在此基础上,以直线和旋转运动模糊图像为例,提出相应的运动参数模型和估计方法。实验结果表明,所提出的策略可以较准确地估计模糊运动。

In this paper we study the motion estimation of motion blurred image, and propose a motion estimation strategy based on the technique of Poisson image fusion. The strategy finds the optimal solution of motion by taking the motion model as the local constraint of Poisson image fusion. On this basis, and using the line and rotation motion blurred images as the example, we present the corresponding motion parameters model and the estimation method. Experimental results show that the strategy presented in the paper is able to quite accurately estimate the fuzzy motion.