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I am trying to calculate variance and mean of gaussian noise by adding it to uniform image using imnoise function as
image = rgb2gray(im2double(imread('flat_400.jpg'))); image(:,:) = 0.5; noisy_image = imnoise(image,'gaussian',0,0.8);
and then am trying to calculate mean and variance using
mean_image = sum(sum(noisy_image))/(size(noisy_image,1)*size(noisy_image,2)) variance = sum(sum((noisy_image - mean_image).^2))/((size(noisy_image,1)*size(noisy_image,2)) - 1)
but the variance and mean are far from the added noise. Can anyone please tell me what's the reason of it?
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Hi. Your noise is very large and the output image must be between 0 and 1, so the values greater than 1 became 1 and values less than 0 became zero.
Gaussian noise can be defined: