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These methods well suppress Gaussian noise but failed to remove impulse noises owing to treating them as edges.
Median filtering has been established as a reliable method to remove impulse noise without damaging edge details [1, 2].
This outlier detection system has been employed to remove impulse outliers, i.e. those which are created by temporary interferers rather than a general change in the trend of the traffic.
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Some researchers used techniques other than median filter for removing impulse noise.
This paper examines the performance of linear and nonlinear filtering algorithms for removing impulse spikes from a digital bathymetry signal.
Owing to bilateral filter's limitation on removing impulse noise, their approach produces disappointing results compared with ours when applied to videos with mixed noise.
This property avoids the problem of choosing a stopping time in numerical experiments and allows us to continue removing impulse noise and mixed Gaussian impulse noise by using the proposed equation.
"We need to remove the impulse for the flotillas.
With the acquired information of the edge direction, the proposed directional median filter can remove the impulse noise and preserve the detail simultaneously.
The impulse value detector, iteratively, detects and removes the impulse grey-values.
After each iteration, by removing an impulse value, the image entropy increases.
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