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A study on Adaptive Multi-level Median Filter using Direction Information Scales  

김수겸 (목포해양대학교 기관시스템공학부)
Abstract
Pixel classification is one of basic image processing issues. The general characteristics of the pixels belonging to various classes are discussed and the radical principles of pixel classification are given. At the same time. a pixel classification scheme based on image direction measure is proposed. As a typical application instance of pixel classification, an adaptive multi-level median filter is presented. An image can be classified into two types of areas by using the direction information measure, that is. smooth area and edge area. Single direction multi-level median filter is used in smooth area. and multi-direction multi-level median filter is taken in the other type of area. What's more. an adaptive mechanism is proposed to adjust the type of the filters and the size of filter window. As a result. we get a better trade-off between preserving details and noise filtering.
Keywords
Edge area; Smooth area; Median Filter; Unidirection Multi-level Median Filter; Bidirection Multi-level Median4 Filte; Adaptive Multi-level Median Filter;
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