Fixed-point algorithms for a TVL1 image restoration model
From MaRDI portal
Publication:5028565
DOI10.1080/00207160.2017.1343470zbMath1487.94027OpenAlexW2661494406WikidataQ113095184 ScholiaQ113095184MaRDI QIDQ5028565
Jian Lu, Ke Qiao, Yuru Zou, Li-Xin Shen
Publication date: 10 February 2022
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2017.1343470
Variational inequalities (49J40) Variational methods applied to PDEs (35A15) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items
Color image restoration based on saturation-value total variation plus L1 fidelity*, $ \newcommand{\e}{{\rm e}} \ell_{0}$ -minimization methods for image restoration problems based on wavelet frames, Observer-based \(H_\infty\) control for discrete-time one-sided Lipschitz Markovian jump delayed systems under partially unknown transition probabilities, A DICTIONARY LEARNING APPROACH FOR FRACTAL IMAGE CODING, Rician noise removal via a learned dictionary
Uses Software
Cites Work
- Nonlinear total variation based noise removal algorithms
- Multiplicative noise removal in imaging: an exp-model and its fixed-point proximity algorithm
- Image recovery via total variation minimization and related problems
- A variational approach to remove outliers and impulse noise
- A first-order primal-dual algorithm for convex problems with applications to imaging
- A fast fixed point algorithm for total variation deblurring and segmentation
- Proximity algorithms for the L1/TV image denoising model
- Restoration of blurred color images with impulse noise
- Image restoration with discrete constrained total variation. I: Fast and exact optimization
- Simultaneously inpainting in image and transformed domains
- Structure-texture image decomposition -- modeling, algorithms, and parameter selection
- Proximity algorithms for image models: denoising
- A proximity algorithm accelerated by Gauss–Seidel iterations for L1/TV denoising models
- A Duality-Based Splitting Method for $\ell^1$-$TV$ Image Restoration with Automatic Regularization Parameter Choice
- The TVL1 Model: A Geometric Point of View
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
- An Efficient Primal-Dual Method for $L^1$TV Image Restoration
- A unified treatment of some iterative algorithms in signal processing and image reconstruction
- A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration
- Aspects of Total Variation RegularizedL1Function Approximation
- Parameter selection for total-variation-based image restoration using discrepancy principle
- Huber Fractal Image Coding Based on a Fitting Plane
- The Total Variation Regularized $L^1$ Model for Multiscale Decomposition
- Variational, Geometric, and Level Set Methods in Computer Vision
- Proximité et dualité dans un espace hilbertien
- Weak convergence of the sequence of successive approximations for nonexpansive mappings
