- What is noise standard deviation?
- How can you distinguish a signal from a noise?
- What is signal variance?
What is noise standard deviation?
The noise standard deviation is calculated as σest = MAD/0.6745. The noisy image must be transformed into the wavelet domain by downsampling the image for several decomposition levels. The estimator in [4] has proven to be a robust estimator in the wavelet domain.
How can you distinguish a signal from a noise?
Definition and explanation
The signal is the meaningful information that you're actually trying to detect. The noise is the random, unwanted variation or fluctuation that interferes with the signal. To get a sense of this, imagine trying to tune into a radio station.
What is signal variance?
The variance of a discrete-time signal is the square of the standard deviation of the signal. Variance gives a measure of deviation of the signal from its mean value.