•If H and G are images, and F(.) represents Fourier transform, then •Thus, one way of thinking about the properties of a convolution is by thinking of how it modifies the frequencies of the image to which it is applied. •In particular, if we look at the power spectrum, then we see that convolving image H by G attenuates frequencies where G has low power, and amplifies those which have high power.