The Wiener filter is effective in restoring degraded images caused by linear motion blur when the parameters of the blur are known. This paper presents an optimization problem to estimate the appropriate parameters of the motion blur. To solve this problem, a particle swarm optimization algorithm is employed. Extensive experiments conducted on the GoPro dataset demonstrate the superiority of the proposed framework compared to other state-of-the-art techniques for image motion deblurring.
