A New Total Variation Method for Multiplicative Noise Removal
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Summary
An alternating minimization algorithm is developed to find the minimizer of such an objective function efficiently and the convergence of the minimizing method is shown.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 322
- References
- 23
- Access
- Open access
- OpenAlex
- https://openalex.org/W2013388817
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7043961
Keywords
Total variation denoising, Multiplicative noise, Multiplicative function, Regularization (linguistics), Mathematics
References
- Digital Picture Processing
- A discrete universal denoiser and its application to binary images
- An Optimization-Based Multilevel Algorithm for Total Variation Image Denoising
- On Gabor's contribution to image enhancement
- A Variational Approach to Removing Multiplicative Noise
- Affine Invariant Flows in the Beltrami Framework
- Signal Recovery by Proximal Forward-Backward Splitting
- A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
- On Semismooth Newton’s Methods for Total Variation Minimization
- Weak convergence of the sequence of successive approximations for nonexpansive mappings
- Nonlinear total variation based noise removal algorithms
- An Algorithm for Total Variation Minimization and Applications
- Image selective smoothing and edge detection by nonlinear diffusion. II
- Ideal spatial adaptation by wavelet shrinkage
- Fonctions convexes duales et points proximaux dans un espace hilbertien
- A VARIATIONAL APPROACH TO REMOVE MULTIPLICATIVE NOISE
- Scale-space and edge detection using anisotropic diffusion
- Digital Picture Processing: An Introduction
- Translation-Invariant De-Noising
- Multiplicative Denoising and Deblurring: Theory and Algorithms
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- Método de suavização de imagem baseado num modelo variacional paralelizado em arquitetura CUDA
- A selective filter to smooth ultrasound images
- A variational model based on split Bregman method for multiplicative noise removal
- A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood
- ERROR ESTIMATES FOR GENERAL FIDELITIES
- Image Deblurring Via Total Variation Based Structured Sparse Model Selection
- Image denoising beyond additive Gaussian noise Patch-based estimators and their application to SAR imagery. (Débruitage d'images au-delà du bruit additif gaussien Estimateurs à patchs et leur application à l'imagerie SAR)
- Multiplicative Noise Removal via Nonlocal Similarity-Based Sparse Representation
- Efficient multiplicative noise removal method using isotropic second order total variation
- Signal Recovery With Certain Involved Convex Data-Fidelity Constraints
- Fracto-integer order total variation based multiplicative noise removal model
- Adaptive Multiplicative Noise Removal Model Using Pixel RelatedSmoothing Term
- Multiplicative noise removal in imaging: An exp-model and its fixed-point proximity algorithm
- Augmented Lagrangian method for angular super-resolution imaging in forward-looking scanning radar
- A new image restoration method by Gaussian smoothing with L1 norm regularization
- Synthetic aperture radar image despeckling via total generalised variation approach
- High-order total variation-based multiplicative noise removal with spatially adapted parameter selection.
- A New Convex Optimization Model for Multiplicative Noise and Blur Removal
- Iterative reweighted total generalized variation based Poisson noise removal model
- A convex relaxation method for computing exact global solutions for multiplicative noise removal
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