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A Gaussian noise is a type of statistical noise in which the amplitude of the noise follows that of a Gaussian distribustion whereas additive white Gaussian noise is a linear combination of a Gaussian noise and a white noise (white noise has a flat or constant power spectral density).
smoothing is a noise reduction technique that derives its name from the fact that it employs a simple, fast filtering algorithm that sacrifices noise suppression power in order to preserve the high spatial frequency detail (e.g. sharp edges) in an image. It is explicitly designed to remove noise spikes --- i.e. isolated pixels of exceptionally low or high pixel intensity (e.g. salt and pepper noise) and is, therefore, less effective at removing additive noise (e.g.Gaussian noise) from an image. biometrics@hotmail.com
The additive inverse means what undoes adding. The additive inverse of +1 is -1.
The additive inverse is +4
additive inverse is when in an equation there is a plus zero. you automatically know that anything plus 0 is still that number, so that is additive identity.