Variational Regularization
Variational Regularization is a mathematical framework within variational optimization that introduces auxiliary constraints or penalty functionals into an objective functional to ensure well-posedness, stability, and convergence of solutions in ill-posed or high-dimensional inference problems.
488
Publications
25.6K
Citations
1.1K
Authors
550
Institutions
Publications per year
2017–2026
164
Parents
488
A Variational Framework for Retinex
Ron Kimmel, Michael Elad, Doron Shaked et al. · International Journal of Computer Vision · 2003 · 696 citations
1–5 of 488
1.1K
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8
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Centre de Recherche en Mathématiques de la Décision, France
7 publications · 848 citations
7
h-index
1–5 of 1.1K
550
University of Cambridge
Cambridge, United Kingdom
13 h-index
33 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
28 publications
5.3K citations
University of California, Los Angeles
Los Angeles, United States
11 h-index
20 publications
1.8K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
32 publications
1.8K citations
University of Graz
Graz, Austria
10 h-index
15 publications
650 citations

Johannes Kepler University of Linz
Linz, Austria
8 h-index
8 publications
2.5K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
8 h-index
15 publications
2.2K citations

Chongqing University
Chongqing, China
8 h-index
14 publications
434 citations
1–8 of 550
35 publications · 1.6K citations
23
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SIIMS · 25 publications · 1.8K citations
21
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22 publications · 1.8K citations
19
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Repository · 20 publications · 967 citations
14
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13 publications · 416 citations
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