International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Salt & Pepper Noise Removal using Modified Boundary Discriminative Noise Detection and Removal Technique (MBDND)

Authors: Piyusha H Sangave

DOI: 10.17605/OSF.IO/9K5QGShort DOI: ggkv8t

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Abstract: In this paper an efficient nonlinear decision based filter is proposed to remove salt and pepper impulse noise. Proposed filter is a two stage filter that incorporates a powerful impulse noise detection method, called the Modified Boundary Discriminative Noise Detection (MBDND) to determine whether the current pixel is corrupted or not. In the second stage a Euclidean distance algorithm is used to restore the corrupted pixels. Extensive experimental results demonstrate that proposed filters performs significantly better than many existing, well accepted and recently proposed median and decision based filters for both gray scale and color images corrupted up to 70% of salt and pepper noise.

Keywords: Decision based Filters, Discriminative Noise Detection, Euclidean Distance, Image Restoration, Impulse Noise


Paper Id: 28

Published On: 2014-11-04

Published In: Volume 2, Issue 6, November-December 2014

Cite This: Salt & Pepper Noise Removal using Modified Boundary Discriminative Noise Detection and Removal Technique (MBDND) - Piyusha H Sangave - IJIRMPS Volume 2, Issue 6, November-December 2014. DOI 10.17605/OSF.IO/9K5QG

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