对加入椒盐噪声的图像分别作均值、中值和维纳滤波

function FuShiPengZhang%I=imread('C:\Users\user\Desktop\data\Gabor-1-120\2-1.jpg'); %J1=imnoise(I,'gaussian',0,0.02); %J2=imnoise(I,'salt & pepper',0.02); %J3=imnoise(I,'speckle',0.02); %运行效果见图2 I=imread('H:\360data\重要数据\我的图片\h_large_WiMa_5f3e00039d602f75.jpg'); I = rgb2gray(I);J=imnoise(I,'salt & pepper',0.02); %h=ones(3,3)/9;%产生3*3的全1数组 %B=conv2(J,h);%卷积运算 K2=filter2(fspecial('average',3),J)/255; %均值滤波模板尺寸为3 K= medfilt2(J);%采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 K1=wiener2(J,[3 3]); %对加噪图像进行二维自适应维纳滤波     subplot(2,3,1);imshow(I); title('原始图像'); subplot(2,3,2);imshow(J); title('加噪图像'); subplot(2,3,3);imshow(K2); title('均值滤波后的图像'); subplot(2,3,4);imshow(K); title('中值滤波后的图像'); subplot(2,3,5);imshow(K1); title('维纳滤波后的图像'); end