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σ is the estimated noise standard deviation.
σ is the noise standard deviation.
Here σ is the noise standard deviation.
We consider four different noise standard deviations.
This is repeated 10 times for each noise standard deviation.
where threshold η bp is proportional to noise standard deviation.
Signal length and noise standard deviation determine universal threshold.
Here, σ is known as noise standard deviation.
When the noise standard deviation is 15, the best patch size is 7. Therefore, there are no best patch size which is suitable for every noise standard deviation.
The advantage is more significant when the noise standard deviation is 5. Therefore, we choose the best Lagrange multipliers according to the data about noise standard deviation 5.
This robust algorithm performs motion detection and local noise standard deviation estimation.
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