In imaging process,the relative rotation motion will lead to some useful message be covered.The Characteristic of rotation motion blur is space-variant. Therefore the restoration of rotation motion blurred image becomes one of main problem in image processing research.This kind of motion blur will impact object identification and tracking in Infrared Guidance System.The restoration of rotation motion blurred image has important value of theory and engineering application.A series of simulation rotation motion blurred images are formed according to rotation motion blurred degradation model.These simulation blurred images are research objects in Preliminary Stage.When the correctness of algorithm is verified, the practical obtained blurred images are processed to confirm.Before the restoration of blurred images,the rotation angle is identified at first.Three widely used methods for the identification of rectilinear motion blurred extent,Fourier transform,error-parameter curve,and autocorrelation,are introduced in rotation motion blurred image analysis.Then,the autocorrelation is proved to be an effective method by processing the simulation images.The performances of three filtering methods are analyzed,Wiener Filtering, constrained least-squares Filtering,and Lucy-Richardson Filtering.And then,a restoration method of rotation motion blurred images based on wiener filtering is proposed.In this method,the space-variant blurs are transformed to space-invariant blurs by using the Bresenham circle-producing algorithm.Deconvolutions are practiced by using wiener filtering.Then,the space-invariant are transformed back to space-variant in order to realize image restoration.The feasibility of this method is proved by processing the simulation blurred images.And then,focusing on the uncertain of the rotation circle center,the practical obtained blurred images are restored with different circle centers.The word and design in restored blurred images can be extracting.The research purpose is realized basically. |