A new method for restoration of motion blurred images

Abstract

Through the analysis on reason why and when motion blurring produces, a new model for restoration of motion blurring image method was proposed. Hough transform and self-correlative function were first employed to estimate the direction and length of the motion blurring, and then total variation model which was time-step adaptive is applied to restore the image. Experimental results show that such a spatial domain based processing can not only avoid the ring-bell effect incurred by traditional frequency domain processing and it is also insensitive to noise and the estimation error of motion-blurred parameters.