Noise Adaptive and Similarity Based Switching Median Filter for Salt & Pepper Noise

Year 2018, Volume: 6 , 51 - 55, 01.04.2018

Ferzan Katırcıoglu

https://doi.org/10.17694/bajece.410249

Abstract

Works have been
conducted recently to remove high intensity salt & pepper noise by virtue
of adaptive and switching median filters. One of the cited works is the
Noisy Adaptive Fuzzy Switching Median Filter (NAFSM) by which the noisy pixels
are detected through utilization of image histogram. Noiseless pixels are
left unprocessed while noisy pixels are passed through the noise adaptive
median filter which expands for them. A filter mechanism which performs
decision making in line with local similarity and similarity has been proposed
for NAFSM. Local similarity information in 3x3 mask has been used for
filtering mechanism in the study titled Noise Adaptive and Similar Based
Switching Median Filter (NASBSM). Two thresholds with three regions were
made by virtue of local similarity information. The logic of the approach
was based on more intensive filtering for noisy pixels with high similarity
value with neighboring pixels and less for those with less similarity value
with neighboring pixels. According to the numerical and visual simulation
results of the NASBSM mechanism, it was detected that it eliminates noises with
high density.

Keywords

Image processing, Local similarity, Median filter

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