Generalized variational framework with minimax optimization for parametric blind deconvolution
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Publication:6557638
DOI10.1088/1361-6420/ad2c30zbMath1547.94073MaRDI QIDQ6557638
Xiang-Feng Wang, Wenxing Zhang, Qichao Cao, Deren Han
Publication date: 18 June 2024
Published in: Inverse Problems (Search for Journal in Brave)
conjugacyproximityanisotropic diffusionblind deconvolutionparametric formstructure tensornonlinear saddle point problem
Cites Work
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- Fast projection onto the simplex and the \(l_1\) ball
- A variational model for multiplicative structured noise removal
- Blind motion deblurring using multiple images
- Variational methods in imaging
- A new approach to constrained total least squares image restoration
- Wavelet deblurring algorithms for spatially varying blur from high-resolution image reconstruction
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Sparse non-negative stencils for anisotropic diffusion
- An efficient computational approach for multiframe blind deconvolution
- An alternative extrapolation scheme of PDHGM for saddle point problem with nonlinear function
- Sparse Wavelet Representations of Spatially Varying Blurring Operators
- Iterative Wavefront Reconstruction for Astronomical Imaging
- Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective
- Blind Deconvolution Using Convex Programming
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems
- A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing
- Deblurring Images
- Variational Analysis
- Restoring Images Degraded by Spatially Variant Blur
- Blind Deconvolution Using a Regularized Structured Total Least Norm Algorithm
- Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems
- A primal–dual hybrid gradient method for nonlinear operators with applications to MRI
- A Primal-Dual Algorithm with Line Search for General Convex-Concave Saddle Point Problems
- A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems
- Blind Deconvolution Using Generalized Cross-Validation Approach to Regularization Parameter Estimation
- Framelet-Based Blind Motion Deblurring From a Single Image
- Image Processing and Analysis
- Convex analysis and monotone operator theory in Hilbert spaces
- Saturation-Value Blind Color Image Deblurring with Geometric Spatial-Feature Prior
- Understanding the convergence of the preconditioned PDHG method: a view of indefinite proximal ADMM
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