An efficient algorithm for reconstruction images corrupted by some multiplicative noises
DOI10.2478/MJPAA-2019-0019MaRDI QIDQ6491203
F. Sniba, Omar Oubbih, Lamia Ziad
Publication date: 24 April 2024
Published in: Moroccan Journal of Pure and Applied Analysis (Search for Journal in Brave)
total variationimage restorationmultiplicative noisenumerical algorithmvariable exponentnonlinear energy
Computing methodologies for image processing (68U10) Spaces of measurable functions ((L^p)-spaces, Orlicz spaces, Köthe function spaces, Lorentz spaces, rearrangement invariant spaces, ideal spaces, etc.) (46E30) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Anisotropic second and fourth order diffusion models based on convolutional virtual electric field for image denoising
- Some class of parabolic systems applied to image processing
- New diffusion models in image processing
- A variable exponent nonlocal \(p(x)\)-Laplacian equation for image restoration
- Minimizing total variation flow
- A new nonlocal total variation regularization algorithm for image denoising
- Anisotropic nonlocal means denoising
- Minimizers of the variable exponent, non-uniformly convex Dirichlet energy
- The Perona-Malik inequality and application to image denoising
- Adaptive wavelet thresholding for image denoising and compression
- A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
- A Variational Approach to Removing Multiplicative Noise
- Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging
- Variable Exponent, Linear Growth Functionals in Image Restoration
- The Gradient Projection Method for Nonlinear Programming. Part II. Nonlinear Constraints
- Two New Nonlinear Nonlocal Diffusions for Noise Reduction
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