Pages that link to "Item:Q1799621"
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The following pages link to Whiteness constraints in a unified variational framework for image restoration (Q1799621):
Displaying 14 items.
- Residual whiteness principle for automatic parameter selection in \(\ell_2-\ell_2\) image super-resolution problems (Q826216) (← links)
- Residual whiteness principle for parameter-free image restoration (Q1988497) (← links)
- Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student \(t\) distribution (Q2021762) (← links)
- Automatic parameter selection based on residual whiteness for convex non-convex variational restoration (Q2073350) (← links)
- A comparison of parameter choice rules for \(\ell^p\)-\(\ell^q\) minimization (Q2084586) (← links)
- Variational image restoration with constraints on noise whiteness (Q2354820) (← links)
- Variational image denoising while constraining the distribution of the residual (Q2510847) (← links)
- Ternary image decomposition with automatic parameter selection via auto- and cross-correlation (Q2680361) (← links)
- MMSE whitening and subspace whitening (Q3546838) (← links)
- Multivariate Myriad Filters Based on Parameter Estimation of Student-$t$ Distributions (Q5109276) (← links)
- A Unified Framework for the Restoration of Images Corrupted by Additive White Noise (Q5864035) (← links)
- ADMM-based residual whiteness principle for automatic parameter selection in single image super-resolution problems (Q6155449) (← links)
- On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance (Q6170448) (← links)
- An alternating direction multiplier method for the inversion of FDEM data (Q6608120) (← links)
