More on filters…
		Cross-correlation/convolution is useful for, e.g., w Blurring w Sharpening w Edge Detection w Interpolation Convolution has a number of nice properties w Commutative, associative w Convolution corresponds to product in the Fourier domain More sophisticated filtering techniques can often yield superior results for these and other tasks: w Polynomial (e.g., bicubic) filters w Steerable filters w Median filters w Bilateral Filters w … (see text, web for more details on these)