Research On Image Restoration Algorithm Based On Nonlinear Filtering

In the information age of the 21 st century,the forms of information have been diversified,and the acquisition of information has not only been limited to voice,but also developed to data,images,video and other multimedia forms.Image enhancement is one of the most commonly used technology in image processing field,and it is an important part of image pre-treatment process,Among the various multimedia forms,the image transmission is more intuitive and fast,so the image processing technology is more and more valued by people.The image transmission process is not very smooth.In the process of digital image acquisition and transmission,the image is affected by various factors.For example,a degraded image or a degraded image under the influence of the shooting environment will be generated by noise interference,which requires the adoption of appropriate algorithms or multiple algorithms to reproduce the original image and make the image clearer,so as to facilitate further analysis and processing according to the image.The details are as follows:1.An improved image denoising method in statistical filter.In digital image processing,the statistical filter is commonly used to process image denoising.Statistical filter can be divided into two categories.The most value filter and median filter.Based on the existing statistical filter denoising method,this paper further studies the improvement method of the statistical filter on image denoising,So,first,it analyzes the noise categories according to the data of the noise,and then by using the corresponding points to detect the median filter in the noise category,and finally using the experiment simulation results to show that the algorithm is better than the traditional method to eliminate the image noise.2.The iterative nonlinear algorithm restores the image.For a blurred image,nonlinear iteration technology has been more and more accepted by people.As a restoration tool,it can obtain better results than the linear algorithm,which needs to take an appropriate number of iterations according to the actual situation of the degraded image.It has strict requirements on computing power and takes a long time to calculate.This chapter mainly introduces iterative nonlinear restoration of L-R algorithm,since the constrained least square filtering requires a full understanding of the existing noise and image spectrum,the corresponding parameters can be adjusted according to the actual situation to achieve the goal of image restoration,.but L-R iterative algorithm can adjust the number of iterations through the simulation experiment to achieve the goal of image restoration.3.An iterative nonlinear algorithm based on Radon transform.In real life,the image taken by camera not only has the feature of motion blur,but also the image may be tilted due to the shooting Angle.In this chapter,based on this problem,it is necessary to first carry out edge detection for the obtained image,and then determine the inclination Angle of the image through the corresponding algorithm.In this chapter,Sobel is used for edge detection,and then Radon transform is used to calculate the inclination Angle to achieve the goal of image correction.Radon transform and iterative algorithm are combined to achieve the goal of image restoration...