Spatially Adaptive Non-gaussian Imaging via Fitted Local Likelihood Technique
نویسندگان
چکیده
This paper offers a new technique for spatially adaptive Þltering. The Þtted local likelihood (FLL) statistics is proposed for selection of an adaptive size estimation neighborhood. The algorithm is developed for quite general observation models subject to the class of the exponential distributions. This algorithm shows a better performance than the intersection of conÞdence interval (ICI) algorithm, in particular, for Poissonian data. Another principal advantage of the novel technique is that it is nonrecursive and does not require knowledge of observation variance.
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Spatially adaptive estimation via fitted local likelihood (FLL) techniques
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