On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means
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Publication:3300294
DOI10.1007/978-3-319-18461-6_11zbMath1444.94009arXiv1503.01587OpenAlexW1593454665MaRDI QIDQ3300294
Charles-Alban Deledalle, Joseph Salmon, Nicolas Papadakis
Publication date: 28 July 2020
Published in: Lecture Notes in Computer Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1503.01587
Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (9)
Flows generating nonlinear eigenfunctions ⋮ Two-Layer Neural Networks with Values in a Banach Space ⋮ Bias reduction in variational regularization ⋮ Unified models for second-order TV-type regularisation in imaging: a new perspective based on vector operators ⋮ Block-based refitting in \(\ell_{12}\) sparse regularization ⋮ Modern regularization methods for inverse problems ⋮ A Convex Approach to Superresolution and Regularization of Lines in Images ⋮ On Lasso refitting strategies ⋮ CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration
Uses Software
Cites Work
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- Nonlinear total variation based noise removal algorithms
- Iterative thresholding for sparse approximations
- Least angle regression. (With discussion)
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Local behavior of sparse analysis regularization: applications to risk estimation
- Nonlinear inverse scale space methods
- Total Variation as a Local Filter
- Atomic Decomposition by Basis Pursuit
- Ideal spatial adaptation by wavelet shrinkage
- Edge-preserving and scale-dependent properties of total variation regularization
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Model selection with low complexity priors
- A Total Variation Spectral Framework for Scale and Texture Analysis
- Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection
- Analysis versus synthesis in signal priors
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- A Review of Image Denoising Algorithms, with a New One
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