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+function [mssim, ssim_map] = ssim_index(img1, img2, K, window, L)
+
+%========================================================================
+%SSIM Index, Version 1.0
+%Copyright(c) 2003 Zhou Wang
+%All Rights Reserved.
+%
+%This is an implementation of the algorithm for calculating the
+%Structural SIMilarity (SSIM) index between two images. Please refer
+%to the following paper:
+%
+%Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image
+%quality assessment: From error visibility to structural similarity"
+%IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612,
+%Apr. 2004.
+%
+%Kindly report any suggestions or corrections to zhouwang@ieee.org
+%
+%----------------------------------------------------------------------
+%
+%Input : (1) img1: the first image being compared
+% (2) img2: the second image being compared
+% (3) K: constants in the SSIM index formula (see the above
+% reference). defualt value: K = [0.01 0.03]
+% (4) window: local window for statistics (see the above
+% reference). default widnow is Gaussian given by
+% window = fspecial('gaussian', 11, 1.5);
+% (5) L: dynamic range of the images. default: L = 255
+%
+%Output: (1) mssim: the mean SSIM index value between 2 images.
+% If one of the images being compared is regarded as
+% perfect quality, then mssim can be considered as the
+% quality measure of the other image.
+% If img1 = img2, then mssim = 1.
+% (2) ssim_map: the SSIM index map of the test image. The map
+% has a smaller size than the input images. The actual size:
+% size(img1) - size(window) + 1.
+%
+%Default Usage:
+% Given 2 test images img1 and img2, whose dynamic range is 0-255
+%
+% [mssim ssim_map] = ssim_index(img1, img2);
+%
+%Advanced Usage:
+% User defined parameters. For example
+%
+% K = [0.05 0.05];
+% window = ones(8);
+% L = 100;
+% [mssim ssim_map] = ssim_index(img1, img2, K, window, L);
+%
+%See the results:
+%
+% mssim %Gives the mssim value
+% imshow(max(0, ssim_map).^4) %Shows the SSIM index map
+%
+%========================================================================
+
+
+if (nargin < 2 | nargin > 5)
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+end
+
+if (size(img1) ~= size(img2))
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+end
+
+[M N] = size(img1);
+
+if (nargin == 2)
+ if ((M < 11) | (N < 11)) % ͼССû塣
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return
+ end
+ window = fspecial('gaussian', 11, 1.5); % һ׼ƫ1.511*11ĸ˹ͨ˲
+ K(1) = 0.01; % default settings
+ K(2) = 0.03; %
+ L = 255; %
+end
+
+if (nargin == 3)
+ if ((M < 11) | (N < 11))
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return
+ end
+ window = fspecial('gaussian', 11, 1.5);
+ L = 255;
+ if (length(K) == 2)
+ if (K(1) < 0 | K(2) < 0)
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+ end
+ else
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+ end
+end
+
+if (nargin == 4)
+ [H W] = size(window);
+ if ((H*W) < 4 | (H > M) | (W > N))
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return
+ end
+ L = 255;
+ if (length(K) == 2)
+ if (K(1) < 0 | K(2) < 0)
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+ end
+ else
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+ end
+end
+
+if (nargin == 5)
+ [H W] = size(window);
+ if ((H*W) < 4 | (H > M) | (W > N))
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return
+ end
+ if (length(K) == 2)
+ if (K(1) < 0 | K(2) < 0)
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+ end
+ else
+ ssim_index = -Inf;
+ ssim_map = -Inf;
+ return;
+ end
+end
+%%
+C1 = (K(1)*L)^2; % C1Lxyá
+C2 = (K(2)*L)^2; % C2ԱȶCxyá
+window = window/sum(sum(window)); %˲һ
+img1 = double(img1);
+img2 = double(img2);
+
+mu1 = filter2(window, img1, 'valid'); % ͼ˲ӼȨ
+mu2 = filter2(window, img2, 'valid'); % ͼ˲ӼȨ
+
+mu1_sq = mu1.*mu1; % Uxƽֵ
+mu2_sq = mu2.*mu2; % Uyƽֵ
+mu1_mu2 = mu1.*mu2; % Ux*Uyֵ
+
+sigma1_sq = filter2(window, img1.*img1, 'valid') - mu1_sq; % sigmax ׼
+sigma2_sq = filter2(window, img2.*img2, 'valid') - mu2_sq; % sigmay ׼
+sigma12 = filter2(window, img1.*img2, 'valid') - mu1_mu2; % sigmaxy׼
+
+if (C1 > 0 & C2 > 0)
+ ssim_map = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))./((mu1_sq + mu2_sq + C1).*(sigma1_sq + sigma2_sq + C2));
+else
+ numerator1 = 2*mu1_mu2 + C1;
+ numerator2 = 2*sigma12 + C2;
+ denominator1 = mu1_sq + mu2_sq + C1;
+ denominator2 = sigma1_sq + sigma2_sq + C2;
+ ssim_map = ones(size(mu1));
+ index = (denominator1.*denominator2 > 0);
+ ssim_map(index) = (numerator1(index).*numerator2(index))./(denominator1(index).*denominator2(index));
+ index = (denominator1 ~= 0) & (denominator2 == 0);
+ ssim_map(index) = numerator1(index)./denominator1(index);
+end
+
+mssim = mean2(ssim_map);
+
+return \ No newline at end of file