Journal ArticleDOI
Vector sigma filters for noise detection and removal in color images
TLDR
Simulation studies reported in this paper indicate that the proposed filter class is computationally attractive, has excellent performance, and is able to preserve fine details while suppressing impulsive noise.About:
This article is published in Journal of Visual Communication and Image Representation.The article was published on 2006-02-01. It has received 115 citations till now. The article focuses on the topics: Median filter & Filter (signal processing).read more
Citations
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Journal ArticleDOI
Fuzzy Peer Groups for Reducing Mixed Gaussian-Impulse Noise From Color Images
TL;DR: The fuzzy concept is used to design a two-step color image filter cascading a fuzzy rule-based switching impulse noise filter by a fuzzy average filtering over the same fuzzypeer , which leads to computational savings.
Journal ArticleDOI
A new adaptive center weighted median filter for suppressing impulsive noise in images
TL;DR: Experimental results have demonstrated that the proposed filter outperforms many well-accepted median-based filters in terms of both noise suppression and detail preservation and provides excellent robustness at various percentages of impulsive noise.
Journal ArticleDOI
Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images
TL;DR: A comprehensive survey of 48 filters for impulsive noise removal from color images is presented and suggestions are provided on how to choose a filter given certain requirements.
Journal ArticleDOI
Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS
TL;DR: Empirical results indicate that the proposed ABF achieves a better performance than the comparison filters in terms of noise suppression and detail preservation, even when the images are highly corrupted by IN.
Journal ArticleDOI
Real-time implementation of order-statistics-based directional filters
TL;DR: Experiments show that the proposed methods to speed up vector filters that involve the cosine distance function provide substantial computational gains without significant loss of accuracy.
References
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Journal ArticleDOI
Pattern Classification and Scene Analysis.
Book
Pattern classification and scene analysis
Richard O. Duda,Peter E. Hart +1 more
TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Book
An Introduction to Multivariate Statistical Analysis
TL;DR: In this article, the distribution of the Mean Vector and the Covariance Matrix and the Generalized T2-Statistic is analyzed. But the distribution is not shown to be independent of sets of Variates.
Journal ArticleDOI
Introduction to Multivariate Statistical Analysis.
William G. Madow,T. W. Anderson +1 more
BookDOI
Nonlinear Digital Filters
TL;DR: This chapter discusses digital filters based on order statistics, Morphological image and signal processing, and Adaptive nonlinear filters.