The standard deviation ‘σ’ at any point in image averaging: σḡ(x, y) = 1/√K σɳ(x, y), where ḡ(x, y) is the average image formed by averaging K different noisy images and ɳ(x, y) is the noise added to an original image f(x, y). What is the relation between K and the variability of the pixel values at each location (x, y)?

• A. Increase in K, decreases the noise of pixel values
• B. Increase in K, increases the noise of pixel values
• C. Decrease in K, decreases the noise of pixel values
• D. Decrease in K, increases the noise of pixel values