Pages that link to "Item:Q256109"
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The following pages link to Iterative choice of the optimal regularization parameter in TV image restoration (Q256109):
Displaying 9 items.
- Residual whiteness principle for automatic parameter selection in \(\ell_2-\ell_2\) image super-resolution problems (Q826216) (← links)
- Unbiased predictive risk estimation of the Tikhonov regularization parameter: convergence with increasing rank approximations of the singular value decomposition (Q2009116) (← links)
- High-order TVL1-based images restoration and spatially adapted regularization parameter selection (Q2364234) (← links)
- Nonconvex mixed TV/Cahn-Hilliard functional for super-resolution/segmentation of 3D trabecular bone images (Q2417939) (← links)
- Multiresolution Parameter Choice Method for Total Variation Regularized Tomography (Q3188212) (← links)
- (Q5276370) (← links)
- A modulus iteration method for non-negatively constrained TV image restoration (Q6072892) (← links)
- On the identification of Lamé parameters in linear isotropic elasticity via a weighted self-guided TV-regularization method (Q6126472) (← links)
- ADMM-based residual whiteness principle for automatic parameter selection in single image super-resolution problems (Q6155449) (← links)
