Noise

State of the art algorithms for estimating noise variance

State of the art algorithms for estimating noise variance
  1. How do you calculate noise variance?
  2. How do you measure noise in an image?

How do you calculate noise variance?

The noise variance is calculated as the mean of the difference between these two frames, the corresponding signal value is calculated as the mean over all the signal values in these frames. The graph in Figure 1 (a) shows the variance plotted over the respective mean signal value.

How do you measure noise in an image?

Noise is typically measured as RMS (Root Mean Square) noise, which is identical to the standard deviation of the flat patch signal S. RMS\ Noise = \sigma(S), where σ denotes the standard deviation. RMS is used because Noise\ Power = (RMS\ Noise)^2.

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