Image noise is unwanted variation in an observed image signal. In an additive model , Gaussian noise motivates a squared data-fidelity penalty, while other statistics require different penalties. Image smoothing suppresses rapid fluctuations, but a filter must distinguish noise from genuine image edges.
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