Motion Blurred Image Restoration Algorithm

With the development of the multimedia technology and the popularization of the digital display device, all of this promotes the development of the digital image processing. Since images are often deteriorated by factors such as blurring and noising during the process of recoding, transmission and storing. Motion-blurred image is the phenomena that the relative motion between moving objects and camera blurs the image. This situation often encountered in daily life, therefore, motion blurred images restoration technology becomes an important hotspot of the image processing recently.In this dissertation, the author's major research work is summarized as follows: Analysis of the causes of motion-blurred images and the process of the image; Motion-Blurred image can be modeled; Traditional motion-blurred image restoration methods inadequacies, a new method is proposed to reduce the complexity of the original algorithm; Easy Ways to recover the traditional ringing effects have questions, analyze the causes of ringing effect and give a solution; Discussing the importance of the motion-blur parameters for the restoration process, and propose a new identification method of fuzzy parameters. A simulation platform is constructed to verify the correctness and to analyze the performance of the above algorithms.The dissertation describes the research works in detail, the principal contributions of the work presented in this thesis are: Optimizing the process of Wiener Filter, in ensuring the quality of image restoration, algorithm reduces the running time and the cost of the system. Analyzing of the image boundary conditions, to discuss its results on the impact of rehabilitation through treatment of the image border, the fuzzy image in the removal and noise while maintaining the details of the images to improve the recovery of the visual image quality, the image seems more smoothing. Images contrast with the blurred image of Fourier frequency spectrum and found that the distribution of Fourier spectrum with the motion blur parameters are closely related, through the detection and analysis of blurred images, a new motion blurred parameter identification are proposed, which improve the accuracy of identification of motion blurred parameters. Finally, a combination of subjective and objective method of image quality evaluation of recovery is used to verify the effectiveness of the recovery algorithm.