基于matlab的退化图像复原（二）------逆滤波复原

clc
I=imread(‘src.png‘);
I0=rgb2gray(I);
subplot(231);
imshow(I0);
title(‘src‘);
[m,n]=size(I0);
F=fftshift(fft2(I0));
k=0.0025;
H=[];
for u=1:m
    for v=1:n
        q=((u-m/2)^2+(v-n/2)^2)^(5/6);
        H(u,v)=exp((-k)*q);
    end
end
G=F.*H;
I1=abs(ifft2(fftshift(G)));
subplot(232);
imshow(uint8(I1))
title(‘退化‘);

I2=imnoise(uint8(I1),‘gaussian‘,0,0.001);
subplot(233);
imshow(uint8(I2));
title(‘加噪声‘);
F0=fftshift(fft2(I2));
F1=F0./H;
I3=ifft(fftshift(F1));
subplot(236);
imshow(uint8(I3));
title(‘退化噪声复原‘)

F2=fftshift(fft2(I1));
F3=F2./H;
I4=ifft(fftshift(F3));
subplot(235);
imshow(uint8(I4));
title(‘退化复原‘)

F4=fftshift(fft2(I0));
I5=ifft(fftshift(F4));
subplot(234);
imshow(uint8(I5));
title(‘直接傅里叶变换回来‘)