文章基本信息

标题：An Efficient Morphological Salt-and-Pepper Noise Detector
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作者：Alok Singh ; Umesh Ghanekar ; Chakresh Kumar 等
期刊名称：International Journal of Advanced Networking and Applications
电子版ISSN：0975-0290
出版年度：2010
卷号：2
期号：5
页码：873-875
出版社：Eswar Publications
摘要：An efficient two stage morphological impulse noise detector is proposed in this paper. The proposed method first identifies the noise pixels by comparing the current pixel with the brightest and the darkest pixels in its working window and then in second stage morphological operations based detector is used to improve the performance of impulse noise detector. Simulation results performed on different images shows better results in terms of the qualitative and quantitative measures of the images
关键词：Mathematical morphology; salt-and-pepper noise; image filter