A new total variation model for restoring blurred and speckle noisy images
From MaRDI portal
Publication:2980105
DOI10.1142/S0219691317500096zbMath1362.65040MaRDI QIDQ2980105
Jian Lu, Yuru Zou, Yupeng Chen, Li-Xin Shen
Publication date: 27 April 2017
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Ill-posedness and regularization problems in numerical linear algebra (65F22) Computing methodologies for image processing (68U10) Iterative numerical methods for linear systems (65F10)
Related Items
A DICTIONARY LEARNING APPROACH FOR FRACTAL IMAGE CODING, Rician noise removal via a learned dictionary, A framelet algorithm for de-blurring images corrupted by multiplicative noise
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- A hybrid optimization method for multiplicative noise and blur removal
- Multiplicative noise removal in imaging: an exp-model and its fixed-point proximity algorithm
- Removing multiplicative noise by Douglas-Rachford splitting methods
- An algorithm for total variation minimization and applications
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization
- Frame-based Poisson image restoration using a proximal linearized alternating direction method
- A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise
- Proximity algorithms for image models: denoising
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
- A New Total Variation Method for Multiplicative Noise Removal
- The Split Bregman Method for L1-Regularized Problems
- A Variational Approach to Removing Multiplicative Noise
- An Efficient Primal-Dual Method for $L^1$TV Image Restoration
- A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator for Multiplicative Noise Removal
- Multiplicative Noise and Blur Removal by Framelet Decomposition and <inline-formula> <tex-math notation="LaTeX">$l_{1}$ </tex-math> </inline-formula>-Based L-Curve Method
- A Mathematical Study of the Relaxed Optical Flow Problem in the Space $BV (\Omega)$
- A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration
- Computing Optical Flow via Variational Techniques
- SAR Image Regularization With Fast Approximate Discrete Minimization
- On the Total Variation Dictionary Model
- Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
- Restoration of Poissonian Images Using Alternating Direction Optimization
- Alternating Minimization Algorithm for Speckle Reduction With a Shifting Technique
- A New Multiplicative Denoising Variational Model Based on $m$th Root Transformation
- Multiplicative Noise Removal via a Learned Dictionary
- Huber Fractal Image Coding Based on a Fitting Plane
- Two-Step Approach for the Restoration of Images Corrupted by Multiplicative Noise
- A Review of Image Denoising Algorithms, with a New One
- Image Processing and Analysis
- Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients