Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise
From MaRDI portal
Publication:5863519
DOI10.1137/21M1421660zbMath1487.94032OpenAlexW4226246492WikidataQ113079352 ScholiaQ113079352MaRDI QIDQ5863519
Zeyu Li, Tieyong Zeng, Tingting Wu, Zhi Li, Xiaoyu Gu, Jian-Wei Niu
Publication date: 1 June 2022
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/21m1421660
Nonconvex programming, global optimization (90C26) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items
DC semidefinite programming and cone constrained DC optimization. I: Theory, A nonconvex nonsmooth image prior based on the hyperbolic tangent function, Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Variational multiplicative noise removal by DC programming
- Proximal alternating linearized minimization for nonconvex and nonsmooth problems
- Computing sparse representation in a highly coherent dictionary based on difference of \(L_1\) and \(L_2\)
- An optimal Poincaré inequality for convex domains
- A convex variational model for restoring SAR images corrupted by multiplicative noise
- On the convergence of the proximal algorithm for nonsmooth functions involving analytic features
- Some first-order algorithms for total variation based image restoration
- A minimization method for the sum of a convex function and a continuously differentiable function
- An introduction to \(\Gamma\)-convergence
- Convex analysis approach to d. c. programming: Theory, algorithms and applications
- An efficient algorithm for globally minimizing a quadratic function under convex quadratic constraints
- Accelerated alternating descent methods for Dykstra-like problems
- Cauchy noise removal by nonconvex ADMM with convergence guarantees
- DC programming and DCA: thirty years of developments
- Accelerating the DC algorithm for smooth functions
- The DC (Difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems
- Robust regression: Asymptotics, conjectures and Monte Carlo
- An algorithm for mean curvature motion
- Automated regularization parameter selection in multi-scale total variation models for image restoration
- A first-order primal-dual algorithm for convex problems with applications to imaging
- On 1-Laplacian elliptic equations modeling magnetic resonance image Rician denoising
- An improved variational model for denoising magnetic resonance images
- Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization
- A ``nonconvex+nonconvex approach for image restoration with impulse noise removal
- Piecewise constant signal and image denoising using a selective averaging method with multiple neighbors
- A convex variational model for restoring blurred images with large Rician noise
- Primal-dual algorithms for total variation based image restoration under Poisson noise
- A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise
- Single Image Dehazing and Denoising: A Fast Variational Approach
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- The Split Bregman Method for L1-Regularized Problems
- A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing
- A Variational Approach to Removing Multiplicative Noise
- A generalized proximal point algorithm for certain non-convex minimization problems
- Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries
- A TVSCAD approach for image deblurring with impulsive noise
- On the Convergence of Nonconvex Minimization Methods for Image Recovery
- Overlapping Domain Decomposition Methods for Ptychographic Imaging
- Minimization of $\ell_{1-2}$ for Compressed Sensing
- Proximal Linearized Alternating Direction Method for Multiplicative Denoising
- Image restoration: Total variation, wavelet frames, and beyond
- Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing
- Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction
- FSIM: A Feature Similarity Index for Image Quality Assessment
- Framelet-Based Blind Motion Deblurring From a Single Image
- A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise
- Two-Step Approach for the Restoration of Images Corrupted by Multiplicative Noise
- Image Processing and Analysis
- Learning Consistent Discretizations of the Total Variation
