图像复原matlab代码

1、1逆滤波复原实现程序%对运动模糊图像进行逆滤波复原clearallI=imread(lena.bmp);LEN=10;THETA=5;PSF=fspecial(motion,LEN,THETA);Blurredmotion=imfilter(I,PSF,circular,conv);g=imnoise(Blurredmotion,gaussian,0,0.0001);wnr1=deconvwnr(g,PSF);figure(1),subplot;imshow(I);figure(2),subplot;imshow(Blurredmotion);figure(3),subplot;imshow(

2、wnr1);2有约束最小二乘方复原的实现程序clearall;clc;%通过模拟水平运动模糊建立退化函数d=2;h=zeros(2*d+1,2*d+1);h(d+1,1:2*d+1)=1/(2*d);%模糊原图像并加入噪声fig1=imread(lena.bmp);mn=size(fig1);fe=zeros(m+2*d,n+2*d);fe(1:m,1:n)=fig1;he=zeros(m+2*d,n+2*d);he(1:2*d+1,1:2*d+1)=h;F=fft2(fe);H=fft2(he);g=imnoise(uint8(ifft2(F.*H),gaussian,0,0.0001);G

3、=fft2(double(g);%最小二乘平方滤波器p=0 1 0;1 -4 1; 0 1 0; pp=zeros(m+2*d,n+2*d); pp(1:3,1:3)=p;p=fft2(pp);r=0.001;F_est=(conj(H)./(abs(H).2+r.*abs(p).2).*G;fig_est=real(ifft2(F_est);%显示结果figure(1),imshow(fig1);figure(2),imshow(uint8(g(d+1:m+d,d+1:n+d),min(g(:)max(g(:);figure(3),imshow(uint8(fig_est(1:m,1:n),

4、min(fig_est(:)max(fig_est(:);3、维纳滤波复原实现程序clearall;clc;%通过模拟水平运动模糊建立退化函数d=2;h=zeros(2*d+1,2*d+1);h(d+1,1:2*d+1)=1/(2*d);%模糊原图像并加入噪声fig1=imread(lena.bmp);mn=size(fig1);fe=zeros(m+2*d,n+2*d);fe(1:m,1:n)=fig1;he=zeros(m+2*d,n+2*d);he(1:2*d+1,1:2*d+1)=h;F=fft2(fe);H=fft2(he);g=imnoise(uint8(ifft2(F.*H),g

5、aussian,0,0.0001);G=fft2(double(g);%维纳滤波器设计k=0.1;F_est=(abs(H).2)./(abs(H).2+k).*G./H;fig_est=real(ifft2(F_est);%显示结果figure(1),imshow(fig1);figure(2),imshow(g);figure(3),imshow(fig_est);理工大学毕业论文56figure(1),imshow(g);title(原图像);PSF=fspecial(gaussian,5,5);Blurred=imfilter(g,PSF,symmetric,conv);V=.0001

6、;BlurredNoisy=imnoise(Blurred,gaussian,0,V);figure(2),imshow(BlurredNoisy);title(模糊和加噪图);luc1=deconvlucy(BlurredNoisy,PSF,50);figure(3),imshow(luc1);title(复原图像，NUMIT=50);5、客观评价三种方法实现程序（平均平方误差、峰值信噪比、归一化互相关）f0=fig1;%原图%-g1=x;%模糊图像%-fima=y;%复原图像x_size,y_size=size(g1)%模糊噪声图像参数fima=double(fima);g1=double

7、(g1);f0=double(f0);MSE_blur_noisy=sum(sum(f0g1).2)/(x_size*y_size);%MSEPSNR_blur_noisy=10*log10(255*255/MSE_blur_noisy);%PSNRNCR_blur_noisy=sum(sum(g1.*f0)/sum(sum(f0).2);%NCRfprintf(1,MSE_blurnoisy=%4.5e,PSNR_blurnoisy=%4.5e,NCR_blurnoisy=%4.5e,MSE_blur_noisy,PSNR_blur_noisy,NCR_blur_noisy);%-去模糊后的图像参数-%MSE_deblurring=sum(sum(fimaf0).2)/(x_size*y_size);%MSEPSNR_deblurring=10*log10(255*255/MSE_deblurring);%PSNRNCR_deblurring=sum(sum(fima.*f0)/sum(sum(f0).2);%NCRfp