三种传统去噪方法MATLAB代码

I=imread('C:\Users\Administrator\Desktop\lena.jpg');
 J=imnoise(I,'gaussian',0,0.005);
 subplot(2,3,1);imshow(I);
 title('原始图像'); 
 subplot(2,3,2);
 imshow(J);  
title('加入高斯噪声之后的图像'); 
 K1=filter2(fspecial('average',3),J)/255; 
 K2=filter2(fspecial('average',5),J)/255;
 K3=filter2(fspecial('average',7),J)/255; 
K4= filter2(fspecial('average',9),J)/255; 
 subplot(2,3,3);imshow(K1); title('改进后的图像1');
 subplot(2,3,4); imshow(K2); title('改进后的图像2');
 subplot(2,3,5);imshow(K3); title('改进后的图像3'); 
subplot(2,3,6);imshow(K4); title('改进后的图像'); 
   实验一：维纳滤波对不同噪声的滤波效果 
 I=imread('C:\Users\Administrator\Desktop\lena.jpg'); 
subplot(3,3,1);imshow(I); title('原始图像');
  J1=imnoise(I,'gaussian',0,0.02); 
subplot(3,3,2);imshow(J1); 
title('加高斯噪声图');
 K1=wiener2(J1,[3 3]);
  subplot(3,3,3);imshow(K1);
 title('维纳滤波后的图像');  
 I=imread('C:\Users\Administrator\Desktop\lena.jpg');
 subplot(3,3,4);imshow(I); title('原始图像'); 
 J2=imnoise(I,'salt & pepper',0.02);
 subplot(3,3,5);imshow(J2); 
title('加椒盐噪声图');
 K1=wiener2(J2,[3 3]);