Restoration Method of Motion Blurred Image Based on Feature Fusion and Particle Swarm Optimization Algorithm

The current computer situation is that people generally have home computers. With the rise and prosperity of the Internet era such as short video, people have higher and higher requirements for high-definition status of pictures and videos. In addition, some people hope to use Internet technology to repair and clarify ancient photos and sports videos. Therefore, in order to make the motion blurred image clearer, this paper studies the image restoration method with the help of feature fusion and particle swarm optimization algorithm. In this paper, we mainly use analytic hierarchy process (AHP) and experimental case analysis and comparison to restore blurred images in different motion states. The experimental results show that the maximum time difference of the proposed method for processing motion blurred images can be 13.1s, which is much smaller than the other two methods.