This paper presents an improved algorithm for the image motion restoration by combining Wiener filtering with
image histogram Equalization. We take the following steps to recover a uniform rectilinear motion image blur: Firstly,
the parameter in the process of image degradation is determined on its spectrograph (Point Spread Function, PSF);
Secondly, putting the PSF back into the Wiener filter's formula is to design the appropriate parameter y; Finally, the
Wiener filtering method and the histogram equalization are integrated to form an improved Wiener filter algorithm for
restoring uniform motion image blur. Experimental results show that visual comparison of images through experiments,
improved the recovery algorithm to be significantly better than average effect of Wiener filtering method.
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