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A bias reduction method is proposed for the case where the radial basis function network (RBFN) is used for image noise reduction by putting the regularly sampled pixel as the 2D input and the pixel value as the output. First an analytical expression for the bias between the true and smoothed images is derived. Based on the analysis results, the smoothed image is multiplied by a constant gain to compensate...
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