Convergence of a fixed point iteration method for the OSV model
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Publication:1045814
DOI10.1016/j.amc.2009.07.026zbMath1177.94035OpenAlexW2024558914MaRDI QIDQ1045814
Do-Hyung Kim, Sung-Dae Yang, Dokkyun Yi, Eun-Youn Kim
Publication date: 16 December 2009
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2009.07.026
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
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- Nonlinear total variation based noise removal algorithms
- Image recovery via total variation minimization and related problems
- Modeling textures with total variation minimization and oscillating patterns in image processing
- A variational approach to remove outliers and impulse noise
- Fourth-order partial differential equations for image enhancement
- Fourth-order partial differential equations for noise removal
- A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
- An image-enhancement technique for electrical impedance tomography
- Analysis of bounded variation penalty methods for ill-posed problems
- Convergence of an Iterative Method for Total Variation Denoising
- Image Decomposition and Restoration Using Total Variation Minimization and theH1
- Fast, robust total variation-based reconstruction of noisy, blurred images
- High-Order Total Variation-Based Image Restoration
- Iterative Methods for Total Variation Denoising
- Applications of functional analysis and operator theory
- Slow and fast diffusion effects in image processing
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