DOI10.1090/S0894-0347-2012-00740-1zbMath1277.35019OpenAlexW2021535288WikidataQ113091010 ScholiaQ113091010MaRDI QIDQ5326482
Bin Dong, Jian-Feng Cai, Zuowei Shen, Stanley J. Osher
Publication date: 6 August 2013
Published in: Journal of the American Mathematical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1090/s0894-0347-2012-00740-1
Blind image inpainting with sparse directional filter dictionaries for lightweight CNNs,
Representation of operators using fusion frames,
On mathematical modeling in image reconstruction and beyond,
Wavelet frame based image restoration via combined sparsity and nonlocal prior of coefficients,
Image recovery via geometrically structured approximation,
Image restoration: a wavelet frame based model for piecewise smooth functions and beyond,
\(\alpha\)-Molecules,
A second-order TV-type approach for inpainting and denoising higher dimensional combined cyclic and vector space data,
DeLISA: deep learning based iteration scheme approximation for solving PDEs,
Sparse representation on graphs by tight wavelet frames and applications,
An analysis of wavelet frame based scattered data reconstruction,
Dual Gramian analysis: Duality principle and unitary extension principle,
Split Bregman iteration algorithm for image deblurring using fourth-order total bounded variation regularization model,
B-spline tight frame based force matching method,
A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation,
An Adaptive Directional Haar Framelet-Based Reconstruction Algorithm for Parallel Magnetic Resonance Imaging,
Multiresolution Parameter Choice Method for Total Variation Regularized Tomography,
CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization,
A wavelet frame constrained total generalized variation model for imaging conductivity distribution,
Edge adaptive hybrid regularization model for image deblurring,
Non-local functionals related to the total variation and connections with image processing,
Data-Driven Tight Frame Construction for Impulsive Noise Removal,
A multi-parameter regularization model for deblurring images corrupted by impulsive noise,
Color image restoration based on saturation-value total variation plus L1 fidelity*,
Directional frames for image recovery: multi-scale discrete Gabor frames,
Image restoration: structured low rank matrix framework for piecewise smooth functions and beyond,
Stable Image Reconstruction Using Transformed Total Variation Minimization,
Improved Harmonic Incompatibility Removal for Susceptibility Mapping via Reduction of Basis Mismatch,
Symmetric canonical quincunx tight framelets with high vanishing moments and smoothness,
Image restoration via tight frame regularization and local constraints,
Learnable Douglas-Rachford iteration and its applications in DOT imaging,
Data-driven, multi-moment fluid modeling of Landau damping,
Image deconvolution using a characterization of sharp images in wavelet domain,
Pseudo-Hamiltonian neural networks for learning partial differential equations,
Digital Gabor filters do generate MRA-based wavelet tight frames,
Compressive total variation for image reconstruction and restoration,
Directional mean curvature for textured image demixing,
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach,
The fractional Laplacian based image inpainting,
Regularized iterative Weiner filter method for blind image deconvolution,
X-ray CT image reconstruction via wavelet frame based regularization and Radon domain inpainting,
An efficient algorithm for \(\ell_{0}\) minimization in wavelet frame based image restoration,
A hybrid alternating minimization algorithm for structured convex optimization problems with application in Poissonian image processing,
Guarantees of total variation minimization for signal recovery,
Multivariate \(\alpha\)-molecules,
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis,
Crouzeix-Raviart approximation of the total variation on simplicial meshes,
Accelerated alternating descent methods for Dykstra-like problems,
Sparse estimation: an MMSE approach,
Bound alternative direction optimization for image deblurring,
$ \newcommand{\e}{{\rm e}} \ell_{0}$ -minimization methods for image restoration problems based on wavelet frames,
Sparse identification of truncation errors,
PDE-Net 2.0: learning PDEs from data with a numeric-symbolic hybrid deep network,
Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization,
Convex blind image deconvolution with inverse filtering,
An efficient nonconvex regularization for wavelet frame and total variation based image restoration,
Inverse scale space decomposition,
Regularization in a functional reproducing kernel Hilbert space,
Approximating the total variation with finite differences or finite elements,
A cubic spline penalty for sparse approximation under tight frame balanced model,
An efficient non-convex total variation approach for image deblurring and denoising,
Triangulated Surface Denoising using High Order Regularization with Dynamic Weights,
Unnamed Item,
$\ell _0$ Minimization for wavelet frame based image restoration,
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks,
Approximation from Noisy Data,
Analysis of inpainting via clustered sparsity and microlocal analysis,
Data-driven tight frame construction and image denoising,
Image Restoration: Wavelet Frame Shrinkage, Nonlinear Evolution PDEs, and Beyond,
Alternating Direction Method of Multipliers for Linear Inverse Problems,
A relaxed fixed point method for a mean curvature-based denoising model,
Blind motion deconvolution for binary images,
Nonnegativity constraints for structured complete systems,
Coherence Retrieval Using Trace Regularization,
A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction,
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems,
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization,
Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm,
Regularization with multilevel non-stationary tight framelets for image restoration,
A new type of multilevel system for image sparse recovery,
Duality for frames,
Data-driven tight frame for multi-channel images and its application to joint color-depth image reconstruction,
Multiscale representation of surfaces by tight wavelet frames with applications to denoising,
Geometric tight frame based stylometry for art authentication of Van Gogh paintings,
Directional tensor product complex tight framelets with low redundancy,
An edge driven wavelet frame model for image restoration,
Automated data-driven selection of the hyperparameters for total-variation-based texture segmentation,
Mathematical methods in biomedical imaging,
Two-stage geometric information guided image reconstruction,
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal,
Image inpainting using sparse multiscale representations: image recovery performance guarantees,
Image restoration by second-order total generalized variation and wavelet frame regularization,
Image Restoration with Mixed or Unknown Noises,
Generalized Intersection Algorithms with Fixed Points for Image Decomposition Learning,
Convergence analysis for iterative data-driven tight frame construction scheme,
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise,
Tight wavelet frames in low dimensions with canonical filters,
Data-driven multi-scale non-local wavelet frame construction and image recovery,
Periodic spline-based frames for image restoration,
A reweighted \(\ell^2\) method for image restoration with Poisson and mixed Poisson-Gaussian noise,
A convex variational model for restoring blurred images with large Rician noise,
An iterative decoupled method with weighted nuclear norm minimization for image restoration