Abstract
Noise reduction is a paramount preliminary step in many computer vision applications in which the presence of undesired noise can distort the results. Lately, the removal of high density salt and pepper noise, as a particular case of impulse noise, has experimented a peak of interest. In this paper, a novel filter, called the improved fuzzy mathematical morphology open-close filter (i-FMMOCS), is presented. This filter considerably improves the results obtained by the so-called fuzzy mathematical morphology open-close filter, through the use of some fuzzy mathematical operators, especially designed to avoid the use of the noisy pixels into the computations. A statistical analysis using some objective restoration measures and the visual comparison of the experimental results show that the proposed filter outperforms significantly several state-of-the-art filters for images corrupted from 5% up to 98% of salt and pepper noise.
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