文章基本信息

标题：A Novel Algorithm for Removing Impulse Noise From Highly Corrupted Image
本地全文：下载
作者：Aijaz Ur Rahman Khan ; Kavita Thakur
期刊名称：Mediterranean Journal of Social Sciences
电子版ISSN：2039-2117
出版年度：2012
卷号：3
期号：15
DOI：10.5901/mjss.2012.v3n15p165
出版社：Mediterranean Center of Social and Educational Research (MCSER)
摘要：Various switching-based median filter have been proposed in the literature for restoration of extremely corrupted images by impulsive noise (Salt and pepper noise). Progressive switching median filter (PSMF) and Boundary discriminative noise detection (BDND) median filter are some of these. It is well known that standard median filter(SMF) is not suitable for removing impulse noise from highly corrupted images. The poor efficiency of this filter is due to the fact that it is not able to discriminate the noisy pixel from noiseless pixel. The proposed method uses noise detection stage and then adaptive window shaped filtering stage for the restoration of images contaminated by impulse noise. The performance of the proposed method is demonstrated through computer simulation in comparison with the PSMF method and standard median filter
关键词：Impulse Noise; Median Filter; Max-Min Filters; Morphological; Neighborhood.