## Image Averaging in Image processing

Consider a noisy image g(x, y) formed by the addition of noise h(x, y) to an original image f(x, y); that is, g(x, y) = f(x, y) + h(x, y) where the assumption is that at every pair of coordinates (x, y) the noise is uncorrelated† and has zero average value. The objective of the … Read more