Research On Image Restoration Techniques Based On Common Fuzzy Types

In the research field of digital image processing,image restoration is a very important part of blurred image restoration is applied to the social various fields in recent years,such as satellite photos of a lot of ground and space,people can use this image to get the earth's resources,global weather and pollution,etc.;In the medical field,doctors can use X-ray to see the body part of the tomography image,in the factory production process,technicians can manage the production through image points.However,due to the influence of many different factors,such as relative motion,defocus and noise,the acquired image will be polluted to a certain extent,so the fuzzy image restoration technology is particularly important.Analyzes and studies several common image restoration technologies of different types of fuzzy images,and gives some improved methods of image restoration technologies.Paper expounds the cause of the blurred image degradation and the type of degradation,and MATLAB,the basis of digital image restoration on several classic image restoration technology,analyzed their advantages and disadvantages,including: wiener filtering,inverse filtering,Lucy-Richardson recovery technology,respectively by MATLAB,the simulation experiment and compares the simulation results of the analysis;The image degradation model is established,the image degradation is classified,and the image fuzzy type is distinguished.The twodimensional Fourier transform is used to transform the image from the spatial domain to the frequency domain.This paper presents a method to distinguish the fuzzy types of images by two-dimensional Fourier transform.In this paper,motion blur type and noise blur type image restoration methods are studied,and motion blur parameters are estimated,including motion blur direction estimation and motion blur length estimation.The estimation method of motion fuzzy direction is improved.In view of the influence of noise on image and the classification of image noise,several commonly used image denoising methods are expounded,and further adjustment is made to the noise image to obtain better denoising effect.An image restoration technique based on filtering is proposed for common fuzzy images.The methods of image restoration are summarized and the development prospect of fuzzy image restoration technology in the future is prospected.