彩色图像的PSNR、SSIM、LPIPS、CIEDE2000评价算法源码matlab

以下是彩色图像的PSNR、SSIM、LPIPS和CIEDE2000评价算法的Matlab源码示例：

1. PSNR（峰值信噪比）：

function psnr_value = PSNR(original, distorted)
    [M, N, ~] = size(original);
    mse = sum((original(:) - distorted(:)).^2) / (M * N * 3);
    max_value = max(original(:));
    psnr_value = 10 * log10(max_value^2 / mse);
end

2. SSIM（结构相似性指数）：

function ssim_value = SSIM(original, distorted)
    K1 = 0.01;
    K2 = 0.03;
    L = 255;
    C1 = (K1 * L)^2;
    C2 = (K2 * L)^2;

    original = double(original);
    distorted = double(distorted);
    mean_original = filter2(fspecial('gaussian', 11, 1.5), original, 'valid');
    mean_distorted = filter2(fspecial('gaussian', 11, 1.5), distorted, 'valid');
    var_original = filter2(fspecial('gaussian', 11, 1.5), original.^2, 'valid') - mean_original.^2;
    var_distorted = filter2(fspecial('gaussian', 11, 1.5), distorted.^2, 'valid') - mean_distorted.^2;
    cov_original_distorted = filter2(fspecial('gaussian', 11, 1.5), original .* distorted, 'valid') - mean_original .* mean_distorted;

    ssim_map = ((2 * mean_original .* mean_distorted + C1) .* (2 * cov_original_distorted + C2)) ./ ((mean_original.^2 + mean_distorted.^2 + C1) .* (var_original + var_distorted + C2));
    ssim_value = mean2(ssim_map);
end

3. LPIPS（感知相似性指标）：需要下载并使用LPIPS库，源码和使用说明可在https://github.com/richzhang/PerceptualSimilarity 找到。

4. CIEDE2000（CIE 2000色差公式）：需要下载并使用CIEDE2000库，源码和使用说明可在https://www.mathworks.com/matlabcentral/fileexchange/46861-color-difference-cie-de2000 找到。

以上是基本的示例代码，用于评估图像质量的不同评价指标。你可以根据实际需求和图像数据进行适当的调整和修改。