matlab对图片加入噪声

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1、Four short words sum up what has lifted most successful individuals above the crowd: a little bit more.-author-datematlab对图片加入噪声matlab对图片加入噪声图片去噪：对一幅图像加入不同的噪声（随机点噪声、椒盐噪声等），选取不同的方法去噪，比如说邻域平均、中值滤波、图像迭加等，比较对于不同的噪声，不同的方法哪种更好。A加入随机点噪声进行邻域平均、中值滤波、图像迭加邻域平均 I=imread(D:gem.bmp); snoise=0.1*randn(size(I); J1=

2、imadd(I,im2uint8(snoise); % 受随机噪声干扰 M4=0 1 0; 1 0 1; 0 1 0; M4=M4/4; % 4邻域平均滤波 I_filter1=filter2(M4,J1); M8=1 1 1; 1 0 1; 1 1 1; % 8邻域平均滤波 M8=M8/8; I_filter2=filter2(M8,J1); subplot(2,2,1),imshow(I);title(原始图像 Gem); subplot(2,2,2),imshow(J1);title(加随机噪声后图像); subplot(2,2,3),imshow(I_filter1,map);titl

3、e(4邻域平均滤波); subplot(2,2,4),imshow(I_filter2,map);title(8邻域平均滤波);均值滤波 G=imread(D:gem.bmp); I=rgb2gray(G); snoise=0.1*randn(size(I); A=imadd(I,im2uint8(snoise); B1=filter2(fspecial(average,3),A)/255; B2=filter2(fspecial(average,5),A)/255; B3=filter2(fspecial(average,10),A)/255; subplot(2,2,1),imshow(A

4、);title(加随机噪声后图像); subplot(2,2,2),imshow(B1);title(平均3后图像); subplot(2,2,3),imshow(B2);title(平均5后图像); subplot(2,2,4),imshow(B3);title(平均10后图像); 原图B .加入椒盐噪声进行邻域平均、中值滤波、图像迭加邻域平均I=imread(moon.tif);J=imnoise(I,salt & pepper,0.02); subplot(1,2,1),imshow(I);title(原图);subplot(1,2,2),imshow(J);title(加噪);K1=f

5、ilter2(fspecial(average,7),J);K2=filter2(fspecial(average,9),J);figure,subplot(1,2,1),imshow(uint8(K1);title(3x3); subplot(1,2,2),imshow(uint8(K1);title(5x5)subplot(1,2,1),imshow(uint8(K1);title(7x7);subplot(1,2,2),imshow(uint8(K1);title(9x9)中值滤波I=imread(moon.tif);J=imnoise(I,salt & pepper,0.02);K1=

6、medfilt2(J); K2=medfilt2(J,5 5); K3=medfilt2(J,7 7);K4=medfilt2(J,9 9); subplot(1,2,1),imshow(K1);title(3x3); subplot(1,2,2),imshow(K2);title(5x5);subplot(1,2,1),imshow(K3);title(7x7);subplot(1,2,2),imshow(K4);title(9x9);C.加入高斯噪声进行邻域平均、中值滤波、图像迭加邻域平均 G=imread(D:gem.bmp); I=rgb2gray(G); J1=imnoise(I,g

7、aussian,0,0.02); % 受高斯噪声干扰 M4=0 1 0; 1 0 1; 0 1 0; M4=M4/4; % 4邻域平均滤波 I_filter1=filter2(M4,J1); M8=1 1 1; 1 0 1; 1 1 1; % 8邻域平均滤波 M8=M8/8; I_filter2=filter2(M8,J1); subplot(2,2,1),imshow(I);title(原始图像 Gem); subplot(2,2,2),imshow(J1);title(加高斯噪声后图像); subplot(2,2,3),imshow(I_filter1,map);title(4邻域平均滤波

8、); subplot(2,2,4),imshow(I_filter2,map);title(8邻域平均滤波); subplot(2,2,3),imshow(B2);title(平均5后图像); subplot(2,2,4),imshow(B3);title(平均7后图像);均值滤波 I=imread(D:gem.bmp); A=imnoise(I,gaussian,0.01); B1=filter2(fspecial(average,3),A)/255; B2=filter2(fspecial(average,5),A)/255; B3=filter2(fspecial(average,7),

9、A)/255; subplot(2,2,1),imshow(A);title(加高斯噪声后图像); subplot(2,2,2),imshow(B1);title(平均3后图像); subplot(2,2,3),imshow(B2);title(平均5后图像); subplot(2,2,4),imshow(B3);title(平均7后图像);D.图像迭加滤波 I=imread(pout.tif); m n=size(I);J1(m,n)=0;J2(m,n)=0;J3(m,n)=0;for i=1:10 temp=imnoise(I,gaussian,0,0.01); J1=J1+double(

10、temp)/10;endfor i=1:20 temp=imnoise(I,gaussian,0,0.01); J2=J2+double(temp)/20;endfor i=1:50 temp=imnoise(I,gaussian,0,0.01); J3=J3+double(temp)/50;endfigure;subplot(2,2,1),imshow(I),title(原图象);subplot(2,2,2),imshow(mat2gray(J1),title(10次迭加滤波);subplot(2,2,3),imshow(mat2gray(J2),title(20次迭加滤波);subplot(2,2,4),imshow(mat2gray(J3),title(50次迭加滤波)-