Monte-Carlo sure : a black-box optimization of regularization parameters for general denoising algorithms
We consider the problem of optimizing the parameters of a given denoising algorithm for restoration of a signal corrupted by white Gaussian noise. To achieve this, we propose to minimize Stein's unbiased risk estimate (SURE) which provides a means of assessing the true mean-squared error (MSE)...
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 17(2008), 9 vom: 01. Sept., Seite 1540-54 |
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Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2008
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Schlagworte: | Journal Article |
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