文章基本信息

标题：Image noise Detection and Removal based on Enhanced GridLOF Algorithm
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作者：Ahmed M. Elmogy ; Eslam Mahmoud ; Fahd A. Turki 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2017
卷号：8
期号：12
DOI：10.14569/IJACSA.2017.081260
出版社：Science and Information Society (SAI)
摘要：Image noise removal is a major task in image processing where noise can harness any information inferred from the image especially when the noise level is high. Although there exists many outlier detection approaches used for this task, more enhancements are needed to achieve better performance specifically in terms of time. This paper proposes a new algorithm to detect and remove noise from images depending on an enhanced version of GridLOF algorithm. The enhancement aims to reduce the time and complexity of the algorithm while attaining comparable accuracy. Simulation results on a set of different images proved that proposed algorithm achieves the standard accuracy.
关键词：Outlier detection; image noise removal; LOF; GridLOF