Search for: [Abstract = "A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge\-preserving properties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates utilizing the concept of vertical weighting. The method unifies a number of known nonlinear image filtering and denoising algorithms such as bilateral and steering kernel filters. It is shown that vertically weighted filters can be realized by a structure of three interconnected radial basis function \(RBF\) networks. We also assess the performance of the algorithm by studying industrial images."]

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