A new algorithm based on one-dimensional Wiener Filter (1DWF) is proposed to restore the image degraded in a deterministic way by motion-blurred and in a stochastic way by additive white noise. From the theoretical derivation of the new algorithm

this paper shows that it is possible to restore the two-dimensional images with 1 DWF

and the computational requirements of the 1DWF method are just one third of the old Wiener filter's. The experiment result of the 1DWF method shows that 1DWF can restore test images

512×512 size and quantized in 8 bits

in 36 ms with Intel Pentium 4 3.0 GHz CPU. It means that the 1DWF method can reach speeds of restoration in 25 frames per second just with one CPU. And the experiment result also reveals that the quali ty of the images restored is no noticeable difference between the 1DWF method and the old Wiener filter.