High impulse noise intensity removal in MRI images
Mehdi Mafi, Harold Martin, Malek Adjouadi · 2017
This study introduces an image denoising method which focuses on detail preservation in the presence of high impulse (salt and pepper) noise. The proposed adaptive median and fixed weighted mean filter (AMFWMF) result in enhanced image similarity and optimal edge information preservation with high correlation and structural similarity index measures. For comparative purposes, a comprehensive analysis of other denoising filters is provided based on different structural metrics. Such standard measures, are used as standard measurements to gauge which of these methods leads to an optimal outcome. The provided results are compared to other existing denoising filters and support of hypothesis of a filter with high resilience to impulse noise of high density levels, our assertion on the method's resilience to impulse noise even under high-density levels. Then, we apply it to a set of MRI images corrupted by different levels of impulse noise intensity.