Regularization parameter selection for nonlinear iterative image restoration and MRI reconstruction using GCV and SURE-based methods
Regularized iterative reconstruction algorithms for imaging inverse problems require selection of appropriate regularization parameter values. We focus on the challenging problem of tuning regularization parameters for nonlinear algorithms for the case of additive (possibly complex) Gaussian noise....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 8 vom: 01. Aug., Seite 3659-72
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| 1. Verfasser: |
Ramani, Sathish
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Zhihao,
Rosen, Jeffrey,
Nielsen, Jon-Fredrik,
Fessler, Jeffrey A |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2012
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural |
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