Procession Of Motion Blurred Image

This dissertation primarily discusses a familiar and difficult type in image processing: restoration of motion blurred image. Here image restoration is that it wipes off or lightens fall of image quality in the process of getting digital image. Our intention is to deal with motion blurred image which is uniform, then to make it to ideal image which has no degradation.Firstly, The dissertation introduces motion blurred image which moves in horizontal direction. On the condition of knowing its degradation function model, this dissertation puts forwards several methods such as wiener filter, further introduces the process of motion-caused blurred image, establishing the mathematical model of degradation and restoration of uniform planar removing by using Hopfield neural network.Secondly, it discusses restoration of motion blurred image in arbitrary direction and points out that this restoration process is composed of three components: identification of the motion blurred direction; estimation of its parameter; restoration of a given method; then points out the shortage of existing clarity evaluation function by experimentation of motion blurred image in horizontal direction and uses a new method- identification the scale of the point spread function from the motion blurred image to restore blurred image.The dissertation mainly discusses uniform motion blurred image. In daily life there exists many motions whose motion speeds are not uniform . It can be seen as composition of uniform motion. We will look forward to research it in the future.