A nonstationary accelerating alternating direction method for frame-based Poissonian image deblurring
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Publication:1736364
DOI10.1016/j.cam.2018.11.028zbMath1454.94016OpenAlexW2905114999WikidataQ128745985 ScholiaQ128745985MaRDI QIDQ1736364
Publication date: 26 March 2019
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2018.11.028
discrepancy principlePoisson noiseimage deblurringnonstationary parameter sequencealternating direction methods
Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (6)
Semi-blind image deblurring by a proximal alternating minimization method with convergence guarantees ⋮ Non-blind and blind deconvolution under Poisson noise using fractional-order total variation ⋮ Bilateral filter based total variation regularization for sparse hyperspectral image unmixing ⋮ A support-denoiser-driven framework for single image restoration ⋮ Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET ⋮ A Kaczmarz algorithm for sequences of projections, infinite products, and applications to frames in IFS \(L^2\) spaces
Uses Software
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nonlinear total variation based noise removal algorithms
- Nonstationary iterated thresholding algorithms for image deblurring
- On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
- A dual algorithm for the solution of nonlinear variational problems via finite element approximation
- Nonstationary iterated Tikhonov regularization
- Affine systems in \(L_ 2(\mathbb{R}^d)\): The analysis of the analysis operator
- A fast algorithm for deconvolution and Poisson noise removal
- Tight frame: an efficient way for high-resolution image reconstruction
- Preconditioning techniques for large linear systems: A survey
- Framelets: MRA-based constructions of wavelet frames
- Orthogonal projection decomposition of matrices and construction of fusion frames
- High-order total variation-based Poissonian image deconvolution with spatially adapted regularization parameter
- Deconvolution: a wavelet frame approach
- A framelet-based image inpainting algorithm
- Nonstationary iterated Tikhonov regularization in Banach spaces with uniformly convex penalty terms
- Primal-dual algorithms for total variation based image restoration under Poisson noise
- Regularization Preconditioners for Frame-Based Image Deblurring with Reduced Boundary Artifacts
- Frame-based Poisson image restoration using a proximal linearized alternating direction method
- Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers
- Regularized Generalized Inverse Accelerating Linearized Alternating Minimization Algorithm for Frame-Based Poissonian Image Deblurring
- Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
- A discrepancy principle for Poisson data
- Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation
- Linearized Bregman Iterations for Frame-Based Image Deblurring
- Spatially adapted regularization parameter selection based on the local discrepancy function for Poissonian image deblurring
- Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
- Efficient gradient projection methods for edge-preserving removal of Poisson noise
- A Note on Antireflective Boundary Conditions and Fast Deblurring Models
- Optimal Dual Frames for Communication Coding With Probabilistic Erasures
- Total Variation--Based Phase Retrieval for Poisson Noise Removal
- A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
- Computational Methods for Inverse Problems
- Image restoration with shifting reflective boundary conditions
- A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations
- Restoration of Poissonian Images Using Alternating Direction Optimization
- Blind Deconvolution Using Generalized Cross-Validation Approach to Regularization Parameter Estimation
- Sparse Poisson Noisy Image Deblurring
- Fast nonstationary preconditioned iterative methods for ill-posed problems, with application to image deblurring
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