IEEE Trans Image Process - Efficient improvements on the BDND filtering algorithm for the removal of high-density impulse noise.

Tópicos

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Resumo

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 performance. In this paper, we propose two modifications to the filtering step of the BDND algorithm to address these issues. Experimental evaluation shows the effectiveness of the proposed modifications in producing sharper images than the BDND algorithm.

Resumo Limpo

switch median filter known outperform standard median filter remov impuls nois due capabl filter candid noisi pixel leav pixel intact boundari discrimin nois detect bdnd one power exampl class filter howev issu relat filter step bdnd algorithm may degrad perform paper propos two modif filter step bdnd algorithm address issu experiment evalu show effect propos modif produc sharper imag bdnd algorithm

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