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- W2149384588 abstract "We present a general framework for combination of two distinct local denoising methods. Interpolation between the two methods is controlled by a spatially varying decision function. Assuming the availability of clean training data, we formulate a learning problem for determining the decision function. As an example application we use Weighted Kernel Ridge Regression to solve this learning problem for a pair of wavelet-based image denoising algorithms, yielding a hybrid denoising algorithm whose performance surpasses that of either initial method." @default.
- W2149384588 created "2016-06-24" @default.
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- W2149384588 date "2007-01-01" @default.
- W2149384588 modified "2023-09-24" @default.
- W2149384588 title "A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods" @default.
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- W2149384588 doi "https://doi.org/10.1109/icip.2007.4379513" @default.
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