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
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