Image restoration is an important branch in the digital image processing.It also is a difficulty.Its major purpose is improving the image quality,using certain prior knowledge of image degeneration to rebuild or restore the original image. In acquiring image,due to the relative motion between an imaging system and its objects,the every value of grey scale of pixels expresses several ones within area instead of itself one pixel. It,thereby,results in imaging degrading,and engenders blurring imaging.The paper analyses a real process about image blurred as a result of object motion,reveals an intrinsical cause about image-degraded owing to object motion,and establishes blurring-model by uniform motion in a straight line result in image blurred abide.Based on result of blurring imaging pixel motion,the writers introduce a restoring model of blurring imaging from reverse process of degrading-process and conclude a restoring technique of motion blurring imaging from it.As an instance,the paper models a blurring process for by uniform motion in a straight line and restores it again.The example conforms the technique is available, especially for restoring characters and texts. A special discuss on boundary pixel problem is given. An analyse about error cause in process of restoring is introduced. In the end, the methods advantage and disadvantage and how to improve on it were discussed.
Keywords: Image restoration, random noise, Wiener filtering , motion-blurred image
