matlab中18张jpg彩色图片的全变分图像融合算法代码

以下是matlab中18张jpg彩色图片的全变分图像融合算法的代码示例：

%读取18张图片
for i = 1:18
    str = ['image',num2str(i),'.jpg'];
    im{i} = imread(str);
end

%设定融合图像大小
height = size(im{1},1);
width = size(im{1},2);
result = zeros(height,width,3);

%初始化变量
lambda = 0.1;
tol = 1e-4;
maxit = 100;
u = zeros(height,width,3);
p = zeros(height,width,3);
d = zeros(height,width,2);

%计算每个像素点的权重
for i = 1:height
    for j = 1:width
        %计算每个像素点的权重
        weights = zeros(18,1);
        for k = 1:18
            weights(k) = im{k}(i,j,1)*im{k}(i,j,2)*im{k}(i,j,3);
        end
        %将像素点权重进行归一化处理
        weights = weights/sum(weights);
        
        %根据权重计算融合后的像素值
        pixel = zeros(1,3);
        for k = 1:18
            pixel = pixel + weights(k)*double(im{k}(i,j,:));
        end
        u(i,j,:) = pixel;
    end
end

%全变分图像融合算法迭代过程
for n = 1:maxit
    %更新p
    p_old = p;
    for i = 1:3
        px = [diff(u(:,:,i),1,2), u(:,1,i)-u(:,end,i)];
        py = [diff(u(:,:,i),1,1); u(1,:,i)-u(end,:,i)];
        d(:,:,1) = max(abs(px)-lambda/2,0).*sign(px);
        d(:,:,2) = max(abs(py)-lambda/2,0).*sign(py);
        p(:,:,i) = d(:,:,1);
        p(:,:,i) = cat(3,p(:,:,i),d(:,:,2));
    end
    
    %更新u
    u_old = u;
    divp = [p(end,:,1); -diff(p(:,:,1),1,1); p(1,:,1)] + [p(:,end,2), -diff(p(:,:,2),1,2), p(:,1,2)];
    u = (1/18)*sum(im2double(im),3) + divp;
    
    %判断是否收敛
    if norm(u(:)-u_old(:),inf)<tol && norm(p(:)-p_old(:),inf)<tol
        break;
    end
end

%显示融合后的图片
imshow(u);

注意：此处仅为示例代码，实际应用中需要根据具体情况进行适当调整。