matlab中基于全变分的18张彩色图像融合算法代码

以下是基于全变分的18张彩色图像融合算法的Matlab代码：

clc;
clear all;
close all;

%% Load Images
img_dir = 'path/to/image/folder/';
img_files = dir(fullfile(img_dir, '*.jpg'));
num_images = length(img_files);
images = cell(num_images,1);

for i = 1:num_images
    img = imread(fullfile(img_dir, img_files(i).name));
    images{i} = im2double(img);
end

%% Weight Calculation
weights = cell(num_images,1);
for i = 1:num_images
    weight = zeros(size(images{i}));
    for j = 1:num_images
        if i == j
            continue
        end
        diff = abs(images{i} - images{j});
        weight = weight + exp(-30*sum(diff(:))/numel(diff));
    end
    weights{i} = weight;
end

%% Fusion
result = zeros(size(images{1}));

for i = 1:num_images
    weight = weights{i};
    weight = weight ./ sum(weight(:));
    result = result + images{i} .* weight;
end

%% Total Variation Denoising
lambda = 0.01; % regularization parameter
num_iter = 100; % number of iterations

result = rgb2gray(result);
result = im2double(result);

for i = 1:3
    [result,~] = denoise_TV(result,lambda,num_iter);
end

%% Display Results
figure;
subplot(1,2,1);
imshow(images{1});
title('Original Image 1');
subplot(1,2,2);
imshow(images{2});
title('Original Image 2');

figure;
subplot(1,2,1);
imshow(result);
title('Fused Image');
subplot(1,2,2);
imshow(weights{1});
title('Weights');

其中，`path/to/image/folder/`要替换为存储图像的文件夹路径。此外，还需要调整`lambda`和`num_iter`参数以获得最佳结果。