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Switching median filters are known to outperform standard median filters in the removal of impulse noise due to their capability of filtering candidate noisy pixels and leaving other pixels intact. The boundary discriminative noise detection (BDND) is one powerful example in this class of filters. However, there are some issues related to the filtering step in the BDND algorithm that may degrade its...
Switching median filters are very popular in the removal of impulse noise in digital images. The boundary discriminative noise detection (BDND) is shown to supersede existing algorithms especially under high noise densities. However, careful investigation of the filtering step in this algorithm reveals some problems that may affect the sharpness of the output image. In this paper, we propose two simple,...
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