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Proceedings Paper

Adaptive varying-bandwidth modified nearest-neighborhood interpolation for denoising and edge detection
Author(s): Karen O. Egiazarian; Vladimir Katkovnik; Edisson Alban
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Paper Abstract

New weight functions called filters or masks, have been designed through nonparametric Local Polynomial Approximation methods (LPA) for both, de-Noising and edge detection tasks. These new masks, are combined with the nearest neighborhood interpolators. The produced modified nearest neighborhood interpolation filter structures are incorporated to a new and effective statistical strategy of bandwidth (window size) selection known as the Intersection of Confidence Intervals (ICI), rendering good performance and accuracy when dealing contaminated data. Nonparametric estimation methods (among them LPA) can be considered as being the driving force for the development of bandwidth selection methods (among them ICI).

Paper Details

Date Published: 22 May 2002
PDF: 12 pages
Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); doi: 10.1117/12.467986
Show Author Affiliations
Karen O. Egiazarian, Tampere Univ. of Technology (Finland)
Vladimir Katkovnik, Kwangju Institute of Science and Technology (Finland)
Edisson Alban, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 4667:
Image Processing: Algorithms and Systems
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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