When adding noise to an image, for instance, is the noise added evenly random (equally likely values within some range), or random but following some distribution (like the normal distribution)? Then, since the noise occurrence is intrinsically random at every pixel, how is it possible for any network to "predict" what the noise value at every pixel had been, in order to subtract it and get back the noiseless image?

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