中文说明： 用于归一化均方误差问题的求解，代码可用，有需要的直接下载即可。 % % 计算均方根误差:含噪图像每个象素点与原始图像间误差的平方和的均值的平方根 % %计算结果，rms等于去噪后的噪声标准差 % % Calculate RMS error between result and original % % Idiff = imsubtract(base,result); % get error values % % Idbl = double(Idiff); % convert to double for arithmetic % d_idbl=block_im(Idbl,8); % for i=1:8 % for j=1:8 % Isqrd{i,j} = d_idbl{i,j}.^2; % square each pixel % end % end
English Description：
Normalized mean square error for problem solving, and code is available, the necessary direct download. %% Calculate the root mean square error: noisy image each pixel with the squared error between the original image and the square root of the mean value %% Calculation results, RMS noise is equal to the standard deviation of noise % % Calculate RMS error between result and original % % Idiff = imsubtract(base,result); % get error values % % Idbl = double(Idiff); % convert to double for arithmetic % d_idbl=block_im(Idbl,8); % for i=1:8 % for j=1:8 % Isqrd{i