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- W1562594865 abstract "A discrete regularization framework on graphs is proposed and studied for color image filtering purposes when images are represented by grid graphs. Image filtering is considered as a variational problem which consists in minimizing an appropriate energy function. In this paper, we propose a general discrete regularization framework defined on weighted graphs which can be seen as a discrete analogue of classical regularization theory. With this formulation, we propose a family of fast and simple anisotropic linear and nonlinear filters. The parameters of the proposed discrete regularization are estimated to have a parameterless filtering." @default.
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- W1562594865 date "2007-01-01" @default.
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- W1562594865 title "Parameterless Discrete Regularization on Graphs for Color Image Filtering" @default.
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- W1562594865 doi "https://doi.org/10.1007/978-3-540-74260-9_5" @default.
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