Restoration of forward motion blurred image based on polar coordinates

Aiming at the problem of recursion computation errors present in the form of noise at deblurred image, the image degradation model being based on coordinate transform and dot operation in airspace, image restoration is here investigated on the counter reaction of image degradation. After sampling afresh with the sector gridding on the image, image degradation simulation matrix is deduced on the base of image degradation, and the resampled image with restriction conditions restored with least-square multiplication. The results showed that the algorithm was simple, providing a clearer restoration, so that the radially blurred image can be restored with algorithm given above.