Whiteness-based parameter selection for Poisson data in variational image processing
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Publication:6043245
DOI10.1016/j.apm.2022.12.018zbMath1510.94007arXiv2207.10481MaRDI QIDQ6043245
Francesca Bevilacqua, Alessandro Lanza, Fiorella Sgallari, Monica Pragliola
Publication date: 5 May 2023
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2207.10481
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Statistical ranking and selection procedures (62F07)
Related Items (2)
Parameter-free restoration of piecewise smooth images ⋮ Masked unbiased principles for parameter selection in variational image restoration under Poisson noise
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nonlinear total variation based noise removal algorithms
- Residual whiteness principle for automatic parameter selection in \(\ell_2-\ell_2\) image super-resolution problems
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- On the Lambert \(w\) function
- Residual whiteness principle for parameter-free image restoration
- Automatic fidelity and regularization terms selection in variational image restoration
- Optimally linearizing the alternating direction method of multipliers for convex programming
- Exploiting residual information in the parameter choice for discrete ill-posed problems
- A discrepancy principle for Poisson data
- Efficient gradient projection methods for edge-preserving removal of Poisson noise
- Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures
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