Image noise
= Image noise
{title2=$g=u+\eta$}
Image noise is unwanted variation in an observed <image signal>. In an additive model $g=u+\eta$, 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>.