A convex variational model for restoring blurred images with large Rician noise
From MaRDI portal
Publication:2354822
DOI10.1007/s10851-014-0551-yzbMath1357.94017OpenAlexW2089276535MaRDI QIDQ2354822
Publication date: 27 July 2015
Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10851-014-0551-y
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items
Flexible parameter selection methods for Rician noise removal with convergence guarantee, A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising, An improved variational model for denoising magnetic resonance images, Variational image restoration and segmentation with Rician noise, On 1-Laplacian elliptic equations modeling magnetic resonance image Rician denoising, Rician noise removal via weighted nuclear norm penalization, Rician noise removal via a learned dictionary, Patch-based weighted SCAD prior for Rician noise removal, Unnamed Item, Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise, Variational Rician Noise Removal via Splitting on Spheres
Cites Work
- Nonlinear total variation based noise removal algorithms
- Global minimization for continuous multiphase partitioning problems using a dual approach
- Duality-based algorithms for total-variation-regularized image restoration
- An optimal Poincaré inequality for convex domains
- Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise
- An algorithm for total variation minimization and applications
- Practical mathematical optimization. An introduction to basic optimization theory and classical and new gradient-based algorithms.
- A first-order primal-dual algorithm for convex problems with applications to imaging
- A dual algorithm for minimization of the LLT model
- A nonlinear multigrid method for total variation minimization from image restoration
- A framelet-based image inpainting algorithm
- A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise
- A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise
- A New Total Variation Method for Multiplicative Noise Removal
- The Split Bregman Method for L1-Regularized Problems
- A Variational Approach to Removing Multiplicative Noise
- Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
- Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization
- Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal
- An Efficient Primal-Dual Method for $L^1$TV Image Restoration
- Numerical Methods and Applications in Total Variation Image Restoration
- Computing Optical Flow via Variational Techniques
- Image restoration: Total variation, wavelet frames, and beyond
- A Review of Image Denoising Algorithms, with a New One
- Image Processing and Analysis
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item