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Exact(52)
The S-estimator is an alternative for the well-known robust estimate of variance MAD, which does not require a location estimate and hence is more appropriate for asymmetric distributions, frequently encountered in transient regions of the image.
As a reference, we showed the robust estimate of variance in addition to the standard estimate of variance.
The well-known robust estimate of variance is the median of absolute deviations from median MAD.
The robust estimate of variance with such a property was proposed in [30].
Thus, the estimate of variance based on these N 1 normally distributed samples is: σ ̂ ν 2 = 1 N 1 ∑ i = 1 N 1 ν i 2, (44).
The example in Figure 1 shows the PWS estimate of variance for the image Lena corrupted with 15% of mixed impulse noise.
Similar(8)
Method of moments estimation was used to obtain estimates of variance components for mixed models [ 20].
We used the restricted maximum-likelihood estimation technique to avoid negative estimates of variance.
Satterthwaite, F. E. An approximate distribution of estimates of variance components.
Estimates of variance, confidence limits, are also of interest.
The PWS can be comprehended as an approximation of the S-estimate of variance.
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