The Comparison of Projection Iterative and Wiener Filter Algorithm of Product Blurred Image Restoration in Production Line

Due to being very sensitive to noise, easy to produce noise amplification effect for traditional inverse filter method algorithm for motion blurred images, this paper uses classic Wiener filtering and projection algorithm, analyzing two algorithms' difference.Two algorithms are used to conduct the simulation of the electronic components of the production line of the motion blur image in VC++2008 environment. Experimental results show that these two algorithms overcome the lack of inverse filtering algorithm, which magnifies the high frequency noise while projection algorithm is better than wiener filtering algorithm in time and clarity.