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Edge Preserving Smoothing With Directional Consistency

Images may be degraded by some random error which is called noise. Noise may occur during image capture, transmission or processing and its elimination is achieved
by smoothing filters. Linear smoothing filters blur the edges and edges are important characteristics of images and must be preserved. Various edge preserving smoothing filters are proposed in the literature. In this thesis, most common smoothing and edge preserving smoothing filters are discussed and a new method is proposed by modifying Ambrosio Tortorelli approximation of Mumford Shah Model. New
method takes into edge direction consistency account and produces sharper results at comparable scales.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/2/12608511/index.pdf
Date01 June 2007
CreatorsSancar Yilmaz, Aysun
ContributorsTari, Sibel
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for METU campus

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