关键词: 运动模糊, 图像复原, 傅立叶变换, 点扩散函数, 参数估计

Abstract: Motion deblurring is to restore the origin image from motion blurred image using image degenerative prior knowledge.When the Point Spread Function（PSF） associated with motion blur is unknown，estimating parameters of the PSF is necessary for image restoration.In this paper the frequency characteristics of the motion blurred image and PSF are analyzed theoretically in Fourier transform perspective.The validity of the motion parameter estimation algorithm which is based on the PSF’s zero property in frequency domain and the direction property of the blurred image’s twice Fourier transform is proved.According to these properties，a direction estimation method and two methods to estimate the motion distance are proposed.And experiments validate the accuracy of the whole estimation method.

Key words: motion blurring, image restoration, Fourier transform, Point Spread Function（PSF）, parameter estimation