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 which one dimension and two dimensions uniform velocity rectilinear motion 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 uniform velocity rectilinear motion 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 method's advantage and disadvantage and how to improve on it were discussed.