Adaptive varying-bandwidth modified nearest-neighborhood interpolation for denoising and edge detection

Karen O. Egiazarian; Vladimir Katkovnik; Edisson Alban

doi:10.1117/12.467986

22 May 2002 Adaptive varying-bandwidth modified nearest-neighborhood interpolation for denoising and edge detection

Karen O. Egiazarian, Vladimir Katkovnik, Edisson Alban

Proceedings Volume 4667, Image Processing: Algorithms and Systems; (2002) https://doi.org/10.1117/12.467986
Event: Electronic Imaging, 2002, San Jose, California, United States

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).

Citation Download Citation

Karen O. Egiazarian, Vladimir Katkovnik, and Edisson Alban "Adaptive varying-bandwidth modified nearest-neighborhood interpolation for denoising and edge detection", Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); https://doi.org/10.1117/12.467986

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