Abstract
Recovery of degraded images due to motion blurring is a challenging problem in digital imaging. This paper presents a new method of Dirac Delta function algorithm to restore motion blurred images based on an analysis of the characteristics of the inverse filter method and the traditional algebraic method. Experimental results show that the new method is effective in performing motion blurred images at arbitrary direction restoration and extensively validated with different amount of noise in the images.
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