Research Of Motion-blurred Images Restoration Technology

Motion blurred image restoration is an important branch in the field of digital image processing,it has important significance in improving the image quality.Motion blurred image restoration is currently widely used in astronomy,military,medical,roads,transportation ndustrial control and manufacturer and other areas.For a long time,motion blur image restoration technology has attracted the attention and research of more and more experts and scholars,various algorithms have been proposed in succession and significant achievements have been made.However,the computational process of some of these algorithms is complex and cumbersome,and satisfactory recovery effects cannot be achieved.Image restoration technology is still an important problem to be solved urgently.This article first introduces the research background and significance of the image restoration techniques and some basic knowledge about image restoration,followed by a dission of the Fourier Transform,and then analyzed the degradation and restoration model of two types of motion blurred images.Secondly,the two evaluation methods of image restoration quality are described:subjective evaluation and objective evaluation.Describes noise and ringing effects in image restoration,and the characteristics,types,and denoising methods of noise.Introduces three common classical algorithm principles in motion blurred image restoration in detail,and the advantages and disadvantages of these algorithms are pointed out.The Wiener filter has been improved,improve the accuracy of the value of K.The optimization of the blurred contours of aerial flight plane images can effectively improve the analysis efficiency of flight aircraft images.To optimize the blurred contour of image shooting,it is necessary to make the minimum mean square error of the image first,extract the fuzzy contour of the captured image accurately,and complete the restoration of the blurred outline of the captured image.The traditional method obtains the fuzzy scale and gets the optimal signal-to-noise ratio,but ignores the minimum of the mean square error of the image.An aerial image restoration method based on Snake model for aerial flight image restoration is proposed.By analyzing the aerial flight image restoration,shooting blurred contour restoration principle.The point spread function is estimated by the displacement vector,so that the minimum variance of the original image and the aerial flight image is achieved,and the flight image restoration of the aerial plane is realized.Based on the fuzzy snake model to extract the contour of shooting,shooting on the vague outline of training samples for statistical analysis,establish shooting fuzzy contour restoration model,to solve the model,to recover the vague outline of the purpose of filming.Finally,using MATLAB software to simulate the algorithm proposed in this paper to restore the motion blurred image processing,the results of the simulation experiment are evaluated from both subjective and objective aspects.The experimental results show that the proposed method has good recovery effect and the quality of the restored image is high.