Research And Implementation Of Algorithm For Restoration Of Motion Blurred Images

Motion-blurring is caused by the relative motion between the camera and the object. It is a ubiquity to our matters, by analyzing the imaging principle of motion blurred images, the image can be recovered using the recovery processing algorithm. This motion-blurred is a common problem in the imaging process, such as the photos taken in aircraft or space craft, with fast-moving objects, and missiles flying in battle. It has realistic significance, which can be applied in many fields. For example, military affairs, traffic, medical images, industry controlling and deceptive field. Motion Blurred Image Restoration based on the following was researched.Firstly, point to the existing fuzzy parameters frequency domain identification method was improved and modified, which given automatically detect the theta and the direction of fuzzy length of the feasible fuzzy algorithm.Secondly, the level of motion blurred images based on the recovery of the theory of algorithms, has been studied, it mainly uses four recovery methods of the inverse filtering, Wiener filtering, edge function method and PSF method. mainly on the inverse filtering and Wiener filtering method for the theoretical study and comparative analysis of simulation experiments, in both noise and non-noise movement under fuzzy recovery experiment done. The results show that Wiener filtering algorithm with motion-blurred image restoration noise, when the direction of the estimated fuzzy Mean Square Error(MSE) is small and the theta of detection is high precision, thus Wiener filtering algorithm of the motion blurred image with noise reduction of the original image can be more effective than the inverse filter, blade edge function method and the PSF algorithm. Generally, there will be ringing effect in Wiener filtering algorithm using the actual acquisition of motion-blurred image restoration, through a series of computer simulation analysis obtained, the filter parameters will affect the ring effect, and therefore choosing appropriate parameters, which can effectively restore the image on the inhibition of dark stripes. The traditional method through the parameters of the change (noise ratio) improves the accuracy and reduces the computation time-consuming. Experimental results show the effectiveness of the improved algorithm.Thirdly, with regard to any direction of the image restoration research, using the blade edge function method, but the disadvantages of algorithm is effect that does not ideal for the severe blurred image restoration. So for any direction of the motion blurred image restoration in this paper, PSF method makes up its blade edge function algorithm shortcomings. Experimental results show that any direction of the image restoration by PSF blade edge function method and the combination resume is better.