clc;clear;close all;
img=double(imread('lena.jpg'));
mask=rgb2gray(imread('ma.jpg'))>160;
[m n]=size(img);
for i=1:m
for j=1:n
if mask(i,j)==0
img(i,j)=0;
end
end
end
imshow(img,[]); %合成的需要修复的图像
lambda=0.2;
a=0.5;
imgn=img;
for l=1:300 %迭代次数
for i=2:m-1
for j=2:n-1
if mask(i,j)==0 %如果当前像素是被污染的像素，则进行处理
Un=sqrt((img(i,j)-img(i-1,j))^2+((img(i-1,j-1)-img(i-1,j+1))/2)^2);
Ue=sqrt((img(i,j)-img(i,j+1))^2+((img(i-1,j+1)-img(i+1,j+1))/2)^2);
Uw=sqrt((img(i,j)-img(i,j-1))^2+((img(i-1,j-1)-img(i+1,j-1))/2)^2);
Us=sqrt((img(i,j)-img(i+1,j))^2+((img(i+1,j-1)-img(i+1,j+1))/2)^2);
Wn=1/sqrt(Un^2+a^2);
We=1/sqrt(Ue^2+a^2);
Ww=1/sqrt(Uw^2+a^2);
Ws=1/sqrt(Us^2+a^2);
Hon=Wn/((Wn+We+Ww+Ws)+lambda);
Hoe=We/((Wn+We+Ww+Ws)+lambda);
How=Ww/((Wn+We+Ww+Ws)+lambda);
Hos=Ws/((Wn+We+Ww+Ws)+lambda);
Hoo=lambda/((Wn+We+Ww+Ws)+lambda);
imgn(i,j)=Hon*img(i-1,j)+Hoe*img(i,j+1)+How*img(i,j-1)+Hos*img(i+1,j)+Hoo*img(i,j);
end
end
end
img=imgn;
end
figure;
imshow(img,[])
