An Improved Motion-Blurred Image Restoration Algorithm
Zhaoyi Peng · Computer Engineering and Science · 2009
According to the characteristics of images blurring caused by motion,the degradation model of blurred images caused by uniform linear motion is analyzed in this paper.We introduce a method of the Wiener filtering recovery.The algorithm can first enhance the anti-noise performance of the Radon transform and use auto-correlation computing to estimate the point spread function of fuzzy scale,and then use the improved method of the K's automatic estimation algorithm to estimate a more accurate K.Then we use the Wiener filter to recover the blurred images.Experiments show that the integrated algorithm can estimate the fuzzy parameters of the motion-blurred images more accurately and obtain better recovery results.