I'm a beginner programmer and I am trying to understand this function that adds Gaussian noise to an image: def gaussianNoise(img): x, y, z = img.shape mean = 0 var = 0.5 sigma = var**0.5 gauss = np.random.normal(mean, sigma, (x, y, z)) noisy = img + gauss noisy = np.clip(noisy, 0, 1) return noisy Could someone please explain what the variables mean, var, and sigma do exactly? Sorry if this is a very basic question — I'm still learning and trying to get the concepts right. Thanks a lot! Continue reading...
