Median Filters Theory and Applications
نویسنده
چکیده
The aim of this paper is to present of standard median and recursive median one-dimensional nonlinear filters. Median filtering is a popular method of noise removal, employed extensively in applications involving speech, signal and image processing. This non-linear technique has proven to be a good alternative to linear filtering as it can effectively suppress impulse noise while preserving edge information. The applications in industry and biomedical signal processing are presented in this article.
منابع مشابه
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Weighted Median (WM) filters have attracted a growing number of interest in the past few years. They inherent the robustness and edge preserving capability of the classical median filter and resemble linear FIR filters in certain properties. Furthermore, WM filters belong to the broad class of nonlinear filters called stack filters. This enables the use of the tools developed for the latter cla...
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تاریخ انتشار 2003