Salt and pepper noise removal based on an approximation of \(l_0\) norm
From MaRDI portal
Publication:2006223
DOI10.1016/j.camwa.2015.05.026zbMath1443.94012OpenAlexW2220552547MaRDI QIDQ2006223
Bailin Yang, Fangfang Dong, De-Xing Kong, Yunmei Chen
Publication date: 8 October 2020
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2015.05.026
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items
A tensor voting based fractional-order image denoising model and its numerical algorithm, Non-Lipschitz Models for Image Restoration with Impulse Noise Removal
Uses Software
Cites Work
- Nonlinear total variation based noise removal algorithms
- A unified primal-dual algorithm framework based on Bregman iteration
- Convex analysis and nonlinear optimization. Theory and examples.
- On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
- Image recovery via total variation minimization and related problems
- An algorithm for total variation minimization and applications
- A variational approach to remove outliers and impulse noise
- Adaptive total variation for image restoration in BV space
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Bregman operator splitting with variable stepsize for total variation image reconstruction
- Iterative image restoration combining total variation minimization and a second-order functional
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- Nonlocal Operators with Applications to Image Processing
- The Split Bregman Method for L1-Regularized Problems
- A Variational Approach to Removing Multiplicative Noise
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
- Correntropy: Properties and Applications in Non-Gaussian Signal Processing
- Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers
- 10.1162/153244303322753751
- Sparse Approximate Solutions to Linear Systems
- Aspects of Total Variation RegularizedL1Function Approximation