Regularized Reconstruction
Regularized Reconstruction is a reconstruction method that incorporates additional constraints or penalties into the inversion process to stabilize solutions and mitigate ill-posedness in image reconstruction problems.
961
Publications
64.2K
Citations
2.4K
Authors
910
Institutions
Publications per year
2017–2026
260
961
The Split Bregman Method for L1-Regularized Problems
Tom Goldstein, Stanley Osher · SIAM Journal on Imaging Sciences · 2009 · 4.3K citations
1–5 of 961
2.4K
17
h-index
13
h-index
9
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8
h-index
University of Electronic Science and Technology of China, China
7 publications · 317 citations
7
h-index
1–5 of 2.4K
910

Centre National de la Recherche Scientifique
Paris, France
26 h-index
93 publications
15.6K citations
University of Michigan
Ann Arbor, United States
21 h-index
65 publications
4.1K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
16 h-index
62 publications
2.7K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
41 publications
870 citations
Tsinghua University
Beijing, China
12 h-index
29 publications
968 citations

Delft University of Technology
Delft, The Netherlands
11 h-index
20 publications
1.8K citations

Washington University in St. Louis
St Louis, United States
11 h-index
32 publications
1.7K citations
Technical University of Denmark
Kongens Lyngby, Denmark
11 h-index
21 publications
881 citations
1–8 of 910
34 publications · 2.7K citations
29
h-index
50 publications · 2.3K citations
28
h-index
37 publications · 6.4K citations
27
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MRM · 21 publications · 2.3K citations
16
h-index
14 publications · 776 citations
14
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1–5