Adaptive varying-bandwidth modified nearest-neighborhood interpolation for denoising and edge detection
Karen Egiazarian, Vladimir Y. Katkovnik, Edisson Albán · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
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).