@inproceedings{2818e141418b4972858d79f054e81a1a,
title = "A machine learning framework for adaptive combination of signal denoising methods",
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.",
keywords = "Image denoising, Image processing, Kernel Ridge Regression, Machine learning",
author = "Hammond, {David K.} and Simoncelli, {Eero P.}",
year = "2006",
doi = "10.1109/ICIP.2007.4379513",
language = "English (US)",
isbn = "1424414377",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "VI29--VI32",
booktitle = "2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings",
note = "14th IEEE International Conference on Image Processing, ICIP 2007 ; Conference date: 16-09-2007 Through 19-09-2007",
}