SVM-based Filter Using Evidence Theory and Neural Network for Image Denosing
نویسندگان
چکیده
منابع مشابه
SVM-based Filter Using Evidence Theory and Neural Network for Image Denosing
This paper presents a novel decision-based fuzzy filter based on support vector machines and Dempster-Shafer evidence theory for effective noise suppression and detail preservation. The proposed filter uses an SVM impulse detector to judge whether an input pixel is noisy. Sources of evidence are extracted, and then the fusion of evidence based on the evidence theory provides a feature vector th...
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Among various kinds of image denoising methods, the Perona–Malik model is a representative Partial Differential Equation based (PDE-based) algorithm which effectively removes the noise as well as having edge enhancement simultaneously through anisotropic diffusion controlled by the diffusion coefficient. However, the unstable behavior of the Perona–Malik model introduces staircasing artifacts i...
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ژورنال
عنوان ژورنال: Journal of Software Engineering and Applications
سال: 2013
ISSN: 1945-3116,1945-3124
DOI: 10.4236/jsea.2013.63b023