A multi-parameter regularization model for deblurring images corrupted by impulsive noise
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Publication:2405844
DOI10.1007/s00034-016-0478-1zbMath1418.94014OpenAlexW2569591699MaRDI QIDQ2405844
Publication date: 26 September 2017
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-016-0478-1
Numerical optimization and variational techniques (65K10) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Uses Software
Cites Work
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- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- A mathematical introduction to compressive sensing
- Wavelet frame based blind image inpainting
- Augmented Lagrangian method for total variation restoration with non-quadratic fidelity
- Simultaneous cartoon and texture inpainting
- Convergence analysis of the Bregman method for the variational model of image denoising
- Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise
- A dual algorithm for the solution of nonlinear variational problems via finite element approximation
- Affine systems in \(L_ 2(\mathbb{R}^d)\): The analysis of the analysis operator
- A variational approach to remove outliers and impulse noise
- Framelets: MRA-based constructions of wavelet frames
- Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization
- Deconvolution: a wavelet frame approach
- Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers
- Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting
- Sparse Representation Prior and Total Variation--Based Image Deblurring under Impulse Noise
- iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
- A Regularization Parameter for Nonsmooth Tikhonov Regularization
- A Duality-Based Splitting Method for $\ell^1$-$TV$ Image Restoration with Automatic Regularization Parameter Choice
- Sparse and Redundant Representations
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
- Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
- An Efficient Primal-Dual Method for $L^1$TV Image Restoration
- Local Strong Homogeneity of a Regularized Estimator
- Space variant median filters for the restoration of impulse noise corrupted images
- Adaptive Regularization of the NL-Means: Application to Image and Video Denoising
- Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers
- Recovery of Blocky Images from Noisy and Blurred Data
- Primal-Dual Decomposition by Operator Splitting and Applications to Image Deblurring
- Image Restoration with Mixed or Unknown Noises
- A Convex, Lower Semicontinuous Approximation of Euler's Elastica Energy
- Aspects of Total Variation RegularizedL1Function Approximation
- Image restoration: Total variation, wavelet frames, and beyond
- An Efficient Two-Phase ${\rm L}^{1}$-TV Method for Restoring Blurred Images with Impulse Noise
- Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise
- Two-Step Approach for the Restoration of Images Corrupted by Multiplicative Noise
- Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration
- Scale Space and PDE Methods in Computer Vision