Exact(1)
MP-PSNR using pyramid decomposition with morphological filters has much better performances than MP-PSNR using pyramid decomposition with linear filters.
Similar(59)
However, conventional morphological filters have certain drawbacks.
Morphological closing filters have been suggested in the literature for processing of profile and functional characterization.
Among different signal processing algorithms, morphological filter (MF) has attracted lots of attention because it could directly extract the geometric structure of the impulsive feature and only needs little computation.
But the filters have proved controversial.
Other furnace filters have the filter in the furnace itself.
By designing new amoeba structuring element, a new family of morphological filters are derived that have better performance in removing the noise while adaptively preserving the main structures compared with traditional amoeba filters.
The filter has gone.
This filter has several tabs which you can further filter.
Morphological filters were also used for the feature extraction of the EEG signals.
Morphological filters are based on the mathematical morphology based on set theory.
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